{ "id": 200506, "title": "Solutions and code of top-ranked teams", "url": "/competitions/landmark-recognition-2020/discussion/200506", "author_name": "", "post_date": "2020-11-30T22:12:05.622727100Z", "votes": 19, "comment_count": 1, "views": 0, "content": "

Hi everyone,

\n

Now that the competition is closed and all winning teams submitted their documentation and code, here is a reference gathering all of the information:

\n\n

Slides for some of the top-ranked teams are also available at the workshop webpage, specifically here.

\n

Best,
\nAndre

", "messages": [ { "id": "1096924", "postDate": "11/30/2020 22:12:05", "content": "

Hi everyone,

\n

Now that the competition is closed and all winning teams submitted their documentation and code, here is a reference gathering all of the information:

\n\n

Slides for some of the top-ranked teams are also available at the workshop webpage, specifically here.

\n

Best,
\nAndre

", "rawMarkdown": "Hi everyone,\n\nNow that the competition is closed and all winning teams submitted their documentation and code, here is a reference gathering all of the information:\n\n- Team \"PD\": [paper](https://arxiv.org/abs/2010.01650), [post](https://www.kaggle.com/c/landmark-recognition-2020/discussion/187821), [code](https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place)\n- Team \"bestfitting\": [paper](https://storage.googleapis.com/kaggle-forum-message-attachments/1035342/17203/2nd_Place_Solution_to_Google_Landmark_Recognition_Competition_2020_bestfitting.pdf), [post](https://www.kaggle.com/c/landmark-recognition-2020/discussion/188299), [code](https://github.com/bestfitting/instance_level_recognition)\n- Team \"All Data Are Ext\": [paper](https://arxiv.org/abs/2010.05350), [post](https://www.kaggle.com/c/landmark-recognition-2020/discussion/187757), [code](https://github.com/haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution)\n\nSlides for some of the top-ranked teams are also available at the [workshop webpage](https://ilr-workshop.github.io/ECCVW2020/), specifically [here](https://drive.google.com/file/d/1KdchHhjz0A5ZofK8mWTy6jQPiS70KQlI/view).\n\nBest,\nAndre", "votes": null }, { "id": "1111004", "postDate": "12/13/2020 09:33:11", "content": "

thank you, it is good for me to review this

", "rawMarkdown": "thank you, it is good for me to review this", "votes": null } ], "comments": [ { "id": 1111004, "author_name": "qiuxin136", "author_url": "", "post_date": "12/13/2020 09:33:11", "content": "

thank you, it is good for me to review this

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1096924": "Hi everyone,\n\nNow that the competition is closed and all winning teams submitted their documentation and code, here is a reference gathering all of the information:\n\n- Team \"PD\": [paper](https://arxiv.org/abs/2010.01650), [post](https://www.kaggle.com/c/landmark-recognition-2020/discussion/187821), [code](https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place)\n- Team \"bestfitting\": [paper](https://storage.googleapis.com/kaggle-forum-message-attachments/1035342/17203/2nd_Place_Solution_to_Google_Landmark_Recognition_Competition_2020_bestfitting.pdf), [post](https://www.kaggle.com/c/landmark-recognition-2020/discussion/188299), [code](https://github.com/bestfitting/instance_level_recognition)\n- Team \"All Data Are Ext\": [paper](https://arxiv.org/abs/2010.05350), [post](https://www.kaggle.com/c/landmark-recognition-2020/discussion/187757), [code](https://github.com/haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution)\n\nSlides for some of the top-ranked teams are also available at the [workshop webpage](https://ilr-workshop.github.io/ECCVW2020/), specifically [here](https://drive.google.com/file/d/1KdchHhjz0A5ZofK8mWTy6jQPiS70KQlI/view).\n\nBest,\nAndre", "1111004": "thank you, it is good for me to review this" }, "source": "meta" }