Per the Competition Rules, External Data is permitted in this competition, but must be posted to this forum thread no later than the Entry Deadline (one week before competition close). You are not required to re-post use of an external dataset if it's already been shared in this thread.
", "messages": [ { "id": "542389", "postDate": "06/03/2019 20:12:09", "content": "Per the Competition Rules, External Data is permitted in this competition, but must be posted to this forum thread no later than the Entry Deadline (one week before competition close). You are not required to re-post use of an external dataset if it's already been shared in this thread.
", "rawMarkdown": "Per the [Competition Rules](https://www.kaggle.com/c/open-images-2019-visual-relationship/rules), External Data is permitted in this competition, but must be posted to this forum thread no later than the Entry Deadline (one week before competition close). You are not required to re-post use of an external dataset if it's already been shared in this thread.", "votes": null }, { "id": "621760", "postDate": "09/08/2019 22:48:22", "content": "https://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://pytorch.org/docs/stable/torchvision/models.html
", "rawMarkdown": "https://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://pytorch.org/docs/stable/torchvision/models.html", "votes": null }, { "id": "627498", "postDate": "09/16/2019 04:11:24", "content": "Imagenet\nCOCO
", "rawMarkdown": "Imagenet\nCOCO", "votes": null }, { "id": "630045", "postDate": "09/19/2019 16:21:42", "content": "pytorch pretrained models:\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nmmdetection pretrained models:\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md
", "rawMarkdown": "pytorch pretrained models:\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nmmdetection pretrained models:\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md", "votes": null }, { "id": "630939", "postDate": "09/21/2019 03:27:44", "content": "Pretrained models from https://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018
", "rawMarkdown": "Pretrained models from https://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018", "votes": null }, { "id": "631946", "postDate": "09/23/2019 02:12:47", "content": "Pretrained models:\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/
", "rawMarkdown": "Pretrained models:\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/", "votes": null }, { "id": "632148", "postDate": "09/23/2019 09:31:59", "content": "Open Images V5\nhttps://storage.googleapis.com/openimages/web/download.html
\n\nmmdet pretrained models\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md
", "rawMarkdown": "Open Images V5\nhttps://storage.googleapis.com/openimages/web/download.html\n\nmmdet pretrained models\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md", "votes": null }, { "id": "632304", "postDate": "09/23/2019 12:56:11", "content": "http://cocodataset.org/#home\nhttp://shuoyang1213.me/WIDERFACE/
", "rawMarkdown": "http://cocodataset.org/#home\nhttp://shuoyang1213.me/WIDERFACE/", "votes": null }, { "id": "632484", "postDate": "09/23/2019 16:51:13", "content": "Apart from pretrained models already mentioned in this thread,
\n\nhttps://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md
", "rawMarkdown": "Apart from pretrained models already mentioned in this thread,\n\n[https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md](https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md)\n[https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md](https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md)", "votes": null }, { "id": "632770", "postDate": "09/24/2019 03:24:45", "content": "Pretrained models from: \nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nDATASET:\nImagenet\nCOCO
", "rawMarkdown": "Pretrained models from: \nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nDATASET:\nImagenet\nCOCO", "votes": null }, { "id": "632814", "postDate": "09/24/2019 05:12:20", "content": "https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md
", "rawMarkdown": "https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md", "votes": null }, { "id": "632884", "postDate": "09/24/2019 07:28:16", "content": "https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1
", "rawMarkdown": "https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1", "votes": null }, { "id": "633170", "postDate": "09/24/2019 14:06:30", "content": "https://fasttext.cc/docs/en/english-vectors.html\nhttps://github.com/tmikolov/word2vec
", "rawMarkdown": "https://fasttext.cc/docs/en/english-vectors.html\nhttps://github.com/tmikolov/word2vec", "votes": null }, { "id": "633391", "postDate": "09/24/2019 21:03:38", "content": "I'm using detectron\nhttps://github.com/facebookresearch/Detectron\nwith some of the pretrained models from their model zoo, in particular:\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl\nand\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl
", "rawMarkdown": "I'm using detectron\nhttps://github.com/facebookresearch/Detectron\nwith some of the pretrained models from their model zoo, in particular:\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl\nand\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl", "votes": null }, { "id": "633410", "postDate": "09/24/2019 21:40:13", "content": "I may or may use some of the following external datasets and/or pretrained models:
\n\nExternal datasets:
\n\nOpenimages v5: https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nPascal VOC: https://pjreddie.com/projects/pascal-voc-dataset-mirror/\nImageNet: http://image-net.org/index\nObjects365: https://www.objects365.org\nCOCO: http://cocodataset.org\nLVIS: https://www.lvisdataset.org/dataset\nVisualQA: https://visualqa.org/\nCIFAR-10: http://www.cs.toronto.edu/~kriz/cifar.html\nWiderface: http://shuoyang1213.me/WIDERFACE/index.html
\n\nPretrained weights for classification backbones and object detection models:
\n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1\nhttps://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/blob/develop/PaddleCV/PaddleDetection/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-artifacts\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-checkpoints\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/\nhttps://github.com/tensorflow/models\nhttps://github.com/tensorflow/tpu/tree/master/models\nhttps://github.com/chainer/chainercv\nhttps://github.com/fchollet/deep-learning-models/releases/\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://github.com/KaimingHe/deep-residual-networks\nhttps://github.com/hujie-frank/SENet\nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nhttps://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018/releases/
", "rawMarkdown": "I may or may use some of the following external datasets and/or pretrained models:\n\nExternal datasets:\n\nOpenimages v5: https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nPascal VOC: https://pjreddie.com/projects/pascal-voc-dataset-mirror/\nImageNet: http://image-net.org/index\nObjects365: https://www.objects365.org\nCOCO: http://cocodataset.org\nLVIS: https://www.lvisdataset.org/dataset\nVisualQA: https://visualqa.org/\nCIFAR-10: http://www.cs.toronto.edu/~kriz/cifar.html\nWiderface: http://shuoyang1213.me/WIDERFACE/index.html\n\nPretrained weights for classification backbones and object detection models:\n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1\nhttps://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/blob/develop/PaddleCV/PaddleDetection/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-artifacts\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-checkpoints\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/\nhttps://github.com/tensorflow/models\nhttps://github.com/tensorflow/tpu/tree/master/models\nhttps://github.com/chainer/chainercv\nhttps://github.com/fchollet/deep-learning-models/releases/\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://github.com/KaimingHe/deep-residual-networks\nhttps://github.com/hujie-frank/SENet\nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nhttps://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018/releases/", "votes": null }, { "id": "633427", "postDate": "09/24/2019 22:53:14", "content": "https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nhttps://github.com/tensorflow/models/tree/master/research/slim#pre-trained-models\nhttps://github.com/google-research/bert
", "rawMarkdown": "https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nhttps://github.com/tensorflow/models/tree/master/research/slim#pre-trained-models\nhttps://github.com/google-research/bert", "votes": null }, { "id": "640321", "postDate": "10/04/2019 00:42:36", "content": "dajfajf;jf
", "rawMarkdown": "dajfajf;jf", "votes": null } ], "comments": [ { "id": 621760, "author_name": "taggatle", "author_url": "", "post_date": "09/08/2019 22:48:22", "content": "https://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://pytorch.org/docs/stable/torchvision/models.html
", "votes": null, "replies": [] }, { "id": 627498, "author_name": "shivgarg", "author_url": "", "post_date": "09/16/2019 04:11:24", "content": "Imagenet\nCOCO
", "votes": null, "replies": [] }, { "id": 630045, "author_name": "idv2005", "author_url": "", "post_date": "09/19/2019 16:21:42", "content": "pytorch pretrained models:\nhttps://github.com/Cadene/pretrained-models.pytorch
\n\nmmdetection pretrained models:\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md
", "votes": null, "replies": [] }, { "id": 630939, "author_name": "muhammedazamkhan", "author_url": "", "post_date": "09/21/2019 03:27:44", "content": "Pretrained models from https://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018
", "votes": null, "replies": [] }, { "id": 631946, "author_name": "its7171", "author_url": "", "post_date": "09/23/2019 02:12:47", "content": "Pretrained models:\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/
", "votes": null, "replies": [] }, { "id": 632148, "author_name": "appian", "author_url": "", "post_date": "09/23/2019 09:31:59", "content": "Open Images V5\nhttps://storage.googleapis.com/openimages/web/download.html
\n\nmmdet pretrained models\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md
", "votes": null, "replies": [] }, { "id": 632304, "author_name": "vadiksadik", "author_url": "", "post_date": "09/23/2019 12:56:11", "content": "http://cocodataset.org/#home\nhttp://shuoyang1213.me/WIDERFACE/
", "votes": null, "replies": [] }, { "id": 632484, "author_name": "erniechiew", "author_url": "", "post_date": "09/23/2019 16:51:13", "content": "Apart from pretrained models already mentioned in this thread,
\n\nhttps://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md
", "votes": null, "replies": [] }, { "id": 632770, "author_name": "zgkkgyy", "author_url": "", "post_date": "09/24/2019 03:24:45", "content": "Pretrained models from: \nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nDATASET:\nImagenet\nCOCO
", "votes": null, "replies": [] }, { "id": 632814, "author_name": "bhilai", "author_url": "", "post_date": "09/24/2019 05:12:20", "content": "https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md
", "votes": null, "replies": [] }, { "id": 632884, "author_name": "czqofnju", "author_url": "", "post_date": "09/24/2019 07:28:16", "content": "https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1
", "votes": null, "replies": [] }, { "id": 633170, "author_name": "hseokool", "author_url": "", "post_date": "09/24/2019 14:06:30", "content": "https://fasttext.cc/docs/en/english-vectors.html\nhttps://github.com/tmikolov/word2vec
", "votes": null, "replies": [] }, { "id": 633391, "author_name": "particlebbq", "author_url": "", "post_date": "09/24/2019 21:03:38", "content": "I'm using detectron\nhttps://github.com/facebookresearch/Detectron\nwith some of the pretrained models from their model zoo, in particular:\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl\nand\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl
", "votes": null, "replies": [] }, { "id": 633410, "author_name": "aagapi", "author_url": "", "post_date": "09/24/2019 21:40:13", "content": "I may or may use some of the following external datasets and/or pretrained models:
\n\nExternal datasets:
\n\nOpenimages v5: https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nPascal VOC: https://pjreddie.com/projects/pascal-voc-dataset-mirror/\nImageNet: http://image-net.org/index\nObjects365: https://www.objects365.org\nCOCO: http://cocodataset.org\nLVIS: https://www.lvisdataset.org/dataset\nVisualQA: https://visualqa.org/\nCIFAR-10: http://www.cs.toronto.edu/~kriz/cifar.html\nWiderface: http://shuoyang1213.me/WIDERFACE/index.html
\n\nPretrained weights for classification backbones and object detection models:
\n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1\nhttps://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/blob/develop/PaddleCV/PaddleDetection/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-artifacts\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-checkpoints\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/\nhttps://github.com/tensorflow/models\nhttps://github.com/tensorflow/tpu/tree/master/models\nhttps://github.com/chainer/chainercv\nhttps://github.com/fchollet/deep-learning-models/releases/\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://github.com/KaimingHe/deep-residual-networks\nhttps://github.com/hujie-frank/SENet\nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nhttps://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018/releases/
", "votes": null, "replies": [] }, { "id": 633427, "author_name": "eublefar", "author_url": "", "post_date": "09/24/2019 22:53:14", "content": "https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nhttps://github.com/tensorflow/models/tree/master/research/slim#pre-trained-models\nhttps://github.com/google-research/bert
", "votes": null, "replies": [] }, { "id": 640321, "author_name": "christmaseve", "author_url": "", "post_date": "10/04/2019 00:42:36", "content": "dajfajf;jf
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "542389": "Per the [Competition Rules](https://www.kaggle.com/c/open-images-2019-visual-relationship/rules), External Data is permitted in this competition, but must be posted to this forum thread no later than the Entry Deadline (one week before competition close). You are not required to re-post use of an external dataset if it's already been shared in this thread.", "621760": "https://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://pytorch.org/docs/stable/torchvision/models.html", "627498": "Imagenet\nCOCO", "630045": "pytorch pretrained models:\nhttps://github.com/Cadene/pretrained-models.pytorch\n\nmmdetection pretrained models:\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md", "630939": "Pretrained models from https://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018", "631946": "Pretrained models:\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/", "632148": "Open Images V5\nhttps://storage.googleapis.com/openimages/web/download.html\n\nmmdet pretrained models\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md", "632304": "http://cocodataset.org/#home\nhttp://shuoyang1213.me/WIDERFACE/", "632484": "Apart from pretrained models already mentioned in this thread,\n\n[https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md](https://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md)\n[https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md](https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md)", "632770": "Pretrained models from: \nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nDATASET:\nImagenet\nCOCO", "632814": "https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md", "632884": "https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1", "633170": "https://fasttext.cc/docs/en/english-vectors.html\nhttps://github.com/tmikolov/word2vec", "633391": "I'm using detectron\nhttps://github.com/facebookresearch/Detectron\nwith some of the pretrained models from their model zoo, in particular:\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/47261647/R-50-GN.pkl\nand\nhttps://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl", "633410": "I may or may use some of the following external datasets and/or pretrained models:\n\nExternal datasets:\n\nOpenimages v5: https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nPascal VOC: https://pjreddie.com/projects/pascal-voc-dataset-mirror/\nImageNet: http://image-net.org/index\nObjects365: https://www.objects365.org\nCOCO: http://cocodataset.org\nLVIS: https://www.lvisdataset.org/dataset\nVisualQA: https://visualqa.org/\nCIFAR-10: http://www.cs.toronto.edu/~kriz/cifar.html\nWiderface: http://shuoyang1213.me/WIDERFACE/index.html\n\nPretrained weights for classification backbones and object detection models:\n\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/Cadene/pretrained-models.pytorch\nhttps://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\nhttps://tfhub.dev/google/faster_rcnn/openimages_v4/inception_resnet_v2/1\nhttps://tfhub.dev/google/openimages_v4/ssd/mobilenet_v2/1\nhttps://github.com/facebookresearch/Detectron/blob/master/MODEL_ZOO.md\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/blob/develop/PaddleCV/PaddleDetection/docs/MODEL_ZOO.md\nhttps://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-artifacts\nhttps://console.cloud.google.com/storage/browser/cloud-tpu-checkpoints\nhttps://pjreddie.com/darknet/yolo/\nhttps://keras.io/applications/\nhttps://github.com/tensorflow/models\nhttps://github.com/tensorflow/tpu/tree/master/models\nhttps://github.com/chainer/chainercv\nhttps://github.com/fchollet/deep-learning-models/releases/\nhttps://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\nhttps://github.com/KaimingHe/deep-residual-networks\nhttps://github.com/hujie-frank/SENet\nhttps://github.com/NVIDIA/ContrastiveLosses4VRD\nhttps://github.com/ZFTurbo/Keras-RetinaNet-for-Open-Images-Challenge-2018/releases/", "633427": "https://storage.googleapis.com/openimages/web/challenge2019_downloads.html\nhttps://github.com/tensorflow/models/tree/master/research/slim#pre-trained-models\nhttps://github.com/google-research/bert", "640321": "dajfajf;jf" }, "source": "meta" }