{
  "total": 234,
  "topics": [
    {
      "id": 127198,
      "title": "Leaderboard is Finalized - Congratulations Winners!",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 113885,
      "title": "External Data Disclosure Thread",
      "comment_count": 50,
      "views": 0,
      "votes": 10
    },
    {
      "id": 118376,
      "title": "Welcome!",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 113886,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 113888,
      "title": "Welcome!",
      "comment_count": 15,
      "views": 0,
      "votes": 11
    },
    {
      "id": 117886,
      "title": "PyTorch at Tesla - Andrej Karpathy, Tesla",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 127037,
      "title": "1st place solution (1/26 details updated)",
      "comment_count": 79,
      "views": 0,
      "votes": 139
    },
    {
      "id": 241787,
      "title": "Doubts in the given question statement and its information",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 120582,
      "title": "Source of 6D Pose Estimation",
      "comment_count": 6,
      "views": 0,
      "votes": 25
    },
    {
      "id": 232245,
      "title": "What are Y and Z... and why isn't one of them almost constant?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 217371,
      "title": "How to use ReinforcementLearning library of R in Kaggle",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 113947,
      "title": "Steering Angle Prediction",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 124230,
      "title": "Confusion regarding Y,P,R matrices in EULER_to_ROTATION function",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 135218,
      "title": "How to add few more files to the existing dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 113928,
      "title": "Multiple output and multiple loss functions in Keras",
      "comment_count": 6,
      "views": 0,
      "votes": 22
    },
    {
      "id": 127901,
      "title": "🥇🥈🥉 北京Univ/百度 Medal Solutions 🥉🥈🥇",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 127099,
      "title": "2nd Place solution",
      "comment_count": 9,
      "views": 0,
      "votes": 48
    },
    {
      "id": 130300,
      "title": "Large re-projection error???",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 130299,
      "title": "Where can we get the landmark definition on 3D model?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 127065,
      "title": "(part of) 5th place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 30
    },
    {
      "id": 127052,
      "title": "9th Place Solution",
      "comment_count": 17,
      "views": 0,
      "votes": 33
    },
    {
      "id": 127145,
      "title": "(Another part of) 5th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 127034,
      "title": "7th place solution",
      "comment_count": 11,
      "views": 0,
      "votes": 39
    },
    {
      "id": 127056,
      "title": "(part of) 7th place solution with code",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 127060,
      "title": "Cropped image in test set, ignored or?",
      "comment_count": 13,
      "views": 0,
      "votes": 16
    },
    {
      "id": 127437,
      "title": "Bad training data",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 127546,
      "title": "37th place brief writeup",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 127501,
      "title": "Evaluation Score",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 127141,
      "title": "Shake-up Scatter Plot",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 127162,
      "title": "Full Test Set Linked to Corresponding Original Image",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 127048,
      "title": "What Makes the Differences?",
      "comment_count": 13,
      "views": 0,
      "votes": 4
    },
    {
      "id": 127031,
      "title": "Clutch",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 127078,
      "title": "Result Verification",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 126253,
      "title": "Let's discuss about private leaderboard shakeup",
      "comment_count": 16,
      "views": 0,
      "votes": 5
    },
    {
      "id": 126771,
      "title": "how to choose logit threshold?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 126795,
      "title": "False positives not included?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 125979,
      "title": "Bug in Quaternion-based Evaluation Code",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 126585,
      "title": "Correct way to calc mAP",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 126846,
      "title": "Is this CV score Reliable",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 126594,
      "title": "Check out this kernel if you are stuck <.05",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 127081,
      "title": "Thanks All for Upvoting kernel",
      "comment_count": 0,
      "views": 0,
      "votes": -10
    },
    {
      "id": 118440,
      "title": "Starting from Basic - Part -II - CAR POSE Model Explanation",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 126526,
      "title": "Dev-loss  steady decreased but training-loss fluctuated..why?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 126743,
      "title": "Hourglass Block Number",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 126177,
      "title": "Problem About Focal Loss",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 124912,
      "title": "seems pseudo labels works...",
      "comment_count": 12,
      "views": 0,
      "votes": 17
    },
    {
      "id": 126020,
      "title": "My Solution to use mask rcnn",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 126387,
      "title": "I am new kaggler and having some trouble ,the time is 0.00. I train it on my machine and submint the .csv for 2 times,but I don't why.Can I only test on the kaggle?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 126128,
      "title": "Boosted result using Adamod optimizer",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 126385,
      "title": "About Submission",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 126353,
      "title": "Need Help:  stuck at 0% complete.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125591,
      "title": "How do you set data augmentation parameters",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 125947,
      "title": "Why big diff between Local CV score and LB",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 123653,
      "title": "Crop and Resize? And flipped.",
      "comment_count": 5,
      "views": 0,
      "votes": 29
    },
    {
      "id": 125438,
      "title": "how to solve sudden \"validation loss : nan\" problem?",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 125976,
      "title": "Different Encoders?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125080,
      "title": "Tweaking  parameters ",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 124489,
      "title": "Best local CV share",
      "comment_count": 42,
      "views": 0,
      "votes": 14
    },
    {
      "id": 125983,
      "title": "Lovász loss?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 125670,
      "title": "Apply testmasks",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 125841,
      "title": "what is the definition of the threshhold?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 125611,
      "title": "Gaussian Map in Focal Loss",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 125707,
      "title": "Hourglass Parameters",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 125614,
      "title": "Some questions about the learning rate",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 125824,
      "title": "Focal Loss Threshold and Sigma Value",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125736,
      "title": "Do we have to train in the kernel for the final submission?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 124430,
      "title": "Do they have to be teaming up?",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 124781,
      "title": "what's the kernel_size you are using for maxpool2d()?",
      "comment_count": 19,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125238,
      "title": "Data Loader Worker Error",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 125606,
      "title": "Validation Evaluation During Training",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125431,
      "title": "Negative confidence values ?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 124870,
      "title": "validation loss vs map score(epoch by epoch analysis)",
      "comment_count": 17,
      "views": 0,
      "votes": 1
    },
    {
      "id": 124922,
      "title": "Why the validation loss don't decrease ?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 125390,
      "title": "confusion about the logits in training results",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125169,
      "title": "List of free open source tools for Machine learning/Deep learning",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 125223,
      "title": "Test time flip augumentation not working?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125278,
      "title": "Cars facing away from camera",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125089,
      "title": "The problem about entries",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 124486,
      "title": "Focal Loss for me :(",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 124480,
      "title": "Dataset with preprocess",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 124925,
      "title": "API problem - No folders when downloading",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 124355,
      "title": "Ensemble of Two-Stage Regression Based Detectors for Accurate Vehicle Detection in Traffic Surveillance Data",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 120811,
      "title": "how to convert euler angle to quaternion in this game ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 122942,
      "title": "Mask cars in a better way",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 121608,
      "title": "Focal loss could not converge",
      "comment_count": 55,
      "views": 0,
      "votes": 10
    },
    {
      "id": 123193,
      "title": "Your best model",
      "comment_count": 42,
      "views": 0,
      "votes": 34
    },
    {
      "id": 122016,
      "title": "How do you trust your local CV?",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 124219,
      "title": "How to use Car Models",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 122569,
      "title": "Why this loss gives NAN",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 123685,
      "title": "playing with logits?",
      "comment_count": 15,
      "views": 0,
      "votes": 7
    },
    {
      "id": 123929,
      "title": "Awesome bird's eye view!",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 124133,
      "title": "Bad images finding",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 124045,
      "title": "Tuning Focal loss?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 124186,
      "title": "Is `id` in train.csv correct?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 123985,
      "title": "What's reason of high local mAP and low LB",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 123787,
      "title": "Some questions about KITTI",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 122874,
      "title": "What is kernel submissions?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 120092,
      "title": "Leaderboard Updated!",
      "comment_count": 14,
      "views": 0,
      "votes": 26
    },
    {
      "id": 123261,
      "title": "The Other 6DVNET",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 117621,
      "title": "5 broken picture files in train, list inside",
      "comment_count": 13,
      "views": 0,
      "votes": 55
    },
    {
      "id": 121460,
      "title": "Does a deeper networks perform better?",
      "comment_count": 40,
      "views": 0,
      "votes": 13
    },
    {
      "id": 123385,
      "title": "The coordinate system of this competiton!",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 123683,
      "title": "Ground Plane Polling",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 123671,
      "title": "Approach for Regr Loss",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 123258,
      "title": "mapping car id and json file",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 118929,
      "title": "EfficientDet: Scalable and Efficient Object Detection",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 123284,
      "title": "About regression loss",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 123090,
      "title": "Why loss refuses to come down",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 123386,
      "title": "Encorporate YpR in image coordinates",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 118303,
      "title": "How to train this model ?",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 123243,
      "title": "Regarding training steps",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 122883,
      "title": "Do you have any lessons or tasks of pytorch?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 120083,
      "title": "Understand Camera Intrinsic Parameters and X, Y, Z",
      "comment_count": 30,
      "views": 0,
      "votes": 59
    },
    {
      "id": 120015,
      "title": "Algorithm Selection for Beginner!",
      "comment_count": 39,
      "views": 0,
      "votes": 77
    },
    {
      "id": 118700,
      "title": "Fun Experiment",
      "comment_count": 11,
      "views": 0,
      "votes": 10
    },
    {
      "id": 121667,
      "title": "Some infos about Test that may be useful",
      "comment_count": 8,
      "views": 0,
      "votes": 24
    },
    {
      "id": 114555,
      "title": "ApolloScape 3D Car Instance: same dataset in different format",
      "comment_count": 15,
      "views": 0,
      "votes": 32
    },
    {
      "id": 120381,
      "title": "Algorithm Selection in 6D Pose Estimation",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 122469,
      "title": "How to reduce amount of GPU needed?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 122798,
      "title": "About Pytorch‘s backward()",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 122242,
      "title": "Top Teams are Overfitting?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 122062,
      "title": "what is the baseline?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 122668,
      "title": "Camera setup (position) on the car has clearly changed, yet there is only one intrinsic matrix?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 120999,
      "title": "Blending",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 121499,
      "title": "Understanding the mAP Evaluation Metric for Object Detection",
      "comment_count": 11,
      "views": 0,
      "votes": 26
    },
    {
      "id": 122489,
      "title": "any luck with external data?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 122482,
      "title": "Can someone suggest how to convert pre-trained model weights into .h5 file",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 122348,
      "title": "Any one tried Fastai",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 122212,
      "title": "how to download data to colab",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 113887,
      "title": "Looking for a Team Thread",
      "comment_count": 136,
      "views": 0,
      "votes": 11
    },
    {
      "id": 122289,
      "title": "Input and Output Size?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 115873,
      "title": "Seems like the labeling for car type are not consistent",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117782,
      "title": "Validation dataset size",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 122219,
      "title": "How to do data augmentation?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 120583,
      "title": "How to improve accuracy on pose prediction?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 117998,
      "title": "Starting from Basic ",
      "comment_count": 14,
      "views": 0,
      "votes": 13
    },
    {
      "id": 121829,
      "title": "Metric for repeated prediction?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 121277,
      "title": "Conventional Image Segmentation Structures",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 120580,
      "title": "Confidence value rarely affects the scoring?",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119478,
      "title": "about 6d-vnet",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 121786,
      "title": "Who knows how to get the 3d-model size?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 120076,
      "title": "The algorithm that Competition Organizer-Baidu chooses !",
      "comment_count": 14,
      "views": 0,
      "votes": 55
    },
    {
      "id": 120972,
      "title": "[solved] strange prediction accuracy",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 120710,
      "title": "Object Detection in 20 Years",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 121263,
      "title": "What do you guys think about the feature engineering on regression values (pose information)?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 117578,
      "title": "local validation score",
      "comment_count": 17,
      "views": 0,
      "votes": 17
    },
    {
      "id": 120850,
      "title": "Submission Format, is it \"pitch, yaw, roll\" or \"yaw, pitch, roll\"?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 121320,
      "title": "Is there  masks of all the instance of all the target car?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 120901,
      "title": "Mapillary MonoDIS (0.304 mAP on NuScenes)",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 121090,
      "title": "Do we need regress the car brand ?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115187,
      "title": "Rotation ordering confusion",
      "comment_count": 20,
      "views": 0,
      "votes": 22
    },
    {
      "id": 121124,
      "title": "I try to get mask,but I have failed",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 121121,
      "title": "How can I get the mask of interested car?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 120721,
      "title": "Are upper parts of images useful?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 116232,
      "title": "Submission Limits",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 120984,
      "title": "Is there a good way to merge predictions from multiple models?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 120954,
      "title": "What's FN in this competition?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 119559,
      "title": " Understanding  the camera projection matrix",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 120951,
      "title": "How to get the model name by the label in the train.csv?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 120379,
      "title": "Filter Response Normalization (FRN)",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 116661,
      "title": "leaderboard's mAP calculation wrong?",
      "comment_count": 39,
      "views": 0,
      "votes": 64
    },
    {
      "id": 120443,
      "title": "How the Competition Organizer get train.csv !",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 120450,
      "title": "Deep Double Descent",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 120510,
      "title": "Deep Iterative Matching for 6D Pose Estimation",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119173,
      "title": "How does models such as Centernet predict poses?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119565,
      "title": "Understanding conversion from Euler angle to rotation matrix",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 118677,
      "title": "Isn't the distance threshold too strict?",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 120574,
      "title": "What's labels' coordinate system",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 120585,
      "title": "Imprecise GT problem?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 120201,
      "title": "Is the bigger the z, the farther the distance",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 116778,
      "title": "Convert 3D models into CAD format(.json to .ply)",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 120210,
      "title": "Trying RAdam and....",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 120085,
      "title": "We'll be updating the leaderboard today!",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 120306,
      "title": "About the maximum number of submissions",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119554,
      "title": "(Beginners tutorial) Understanding Pitch,yaw and roll",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 119632,
      "title": "Why are the scores in the top of the rankings only one significant number？",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 119731,
      "title": "Pickle has gone sour",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 114982,
      "title": "Dublicates in Test",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 119775,
      "title": "Can someone explain the evaluation metric?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119810,
      "title": "6 degrees of freedom",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119754,
      "title": "x,y,z?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 118014,
      "title": "Camera Intrinsic Parameters",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 113895,
      "title": "Useful Papers/Blogs/References",
      "comment_count": 26,
      "views": 0,
      "votes": 129
    },
    {
      "id": 119573,
      "title": "How to proceed with mapping of car boxes with Angles in train.csv ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116894,
      "title": "Problem on yaw roll pitch.....",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119542,
      "title": "Error when loading pickle files",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 118907,
      "title": "Anchor Free Object Detection",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 119515,
      "title": "External data?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 118401,
      "title": "Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 116460,
      "title": "scary data augment",
      "comment_count": 10,
      "views": 0,
      "votes": 17
    },
    {
      "id": 118304,
      "title": "OFT Net - Paper + PyTorch Code",
      "comment_count": 9,
      "views": 0,
      "votes": 26
    },
    {
      "id": 118908,
      "title": "FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116788,
      "title": "Some thoughts on using 3D model",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115370,
      "title": "model_type -> car_model 3d mapping",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 118861,
      "title": "First time with 3D data. Some basic doubts.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 118568,
      "title": "Why only 9% data for public lb?",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 118733,
      "title": "train.csv prediction string format",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 118560,
      "title": "Question about pitch and the dataset ",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 114009,
      "title": "Pitch, Roll and Yaw",
      "comment_count": 5,
      "views": 0,
      "votes": 35
    },
    {
      "id": 118718,
      "title": "Car Model and 3D Model association",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 117687,
      "title": "How to Convert a Picture to Numbers?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 117076,
      "title": "Can we use external pre-trained model for depth prediction?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 118163,
      "title": "How to extend Mask RCNN for this problem?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 118361,
      "title": "Basic Model Creation - Reference Kernel ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 116992,
      "title": "RotationDistance metric implement compatible with official",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 115630,
      "title": "Translation Evaluation",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 117201,
      "title": "Comprehension of data",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 117646,
      "title": "comitting and sharing",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114387,
      "title": "How to associate the model_type with the model.pkl",
      "comment_count": 12,
      "views": 0,
      "votes": 8
    },
    {
      "id": 115673,
      "title": "Optimizing multiple losses",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 116423,
      "title": "Rotation Evaluation findings",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 116928,
      "title": "Why the y-cor so large?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114618,
      "title": "Augmented Reality",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 115807,
      "title": "I want to know augmentation for this task",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 116563,
      "title": "Why",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 116132,
      "title": "Image resolution is so large",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 114795,
      "title": "Evaluation Metric, Local CV ?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115479,
      "title": "Ideas of using 3D mode",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113916,
      "title": "Shout out for this competition!",
      "comment_count": 27,
      "views": 0,
      "votes": 49
    },
    {
      "id": 115565,
      "title": "orderliness in discussion forums",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115444,
      "title": "Confused about the metrics",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113990,
      "title": "Should we undistort the images?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115251,
      "title": "Singleshotpose",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 115295,
      "title": "Position Evaluation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114594,
      "title": "Visualizing 3d models on top of the image (not correct)",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 114315,
      "title": "What is the confidence score?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114058,
      "title": "Why is yaw so small in the training data set ?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 114496,
      "title": "2 submissions per day",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114577,
      "title": "Submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 114139,
      "title": "How do we transform a a point from an image to 3D world space(x,y,z)?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 113945,
      "title": "External dataset for car detection?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 113936,
      "title": "How to Join",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 113925,
      "title": "Euler Angles",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 113918,
      "title": "External dataset licences ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    }
  ],
  "errors": []
}