{
  "id": 186493,
  "title": "Solutions of top-ranked teams",
  "url": "/competitions/landmark-retrieval-2020/discussion/186493",
  "author_name": "",
  "post_date": "2020-09-24T17:04:50.642274Z",
  "votes": 11,
  "comment_count": 6,
  "views": 0,
  "content": "<p>Here's a list of the writeups and workshop presentations of the top approaches.</p>\n<p><strong>Writeups:</strong><br>\n1st place (keetar): <a href=\"https://arxiv.org/abs/2009.05132\" target=\"_blank\">paper</a>, <a href=\"https://www.kaggle.com/c/landmark-retrieval-2020/discussion/176037\" target=\"_blank\">post</a>, <a href=\"https://github.com/seungkee/google_landmark_retrieval_2020_1st_place_solution\" target=\"_blank\">code</a><br>\n2nd place (bysj): <a href=\"https://vis-bj.bj.bcebos.com/landmark/landmark2020_retrieval.pdf\" target=\"_blank\">paper</a>, <a href=\"https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177078\" target=\"_blank\">post</a>, <a href=\"https://github.com/feymanpriv/pymetric\" target=\"_blank\">code</a><br>\n3rd place (TRT): <a href=\"https://arxiv.org/abs/2008.10480\" target=\"_blank\">paper</a>, <a href=\"https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177162\" target=\"_blank\">post</a>, <a href=\"https://github.com/Raykoooo/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020\" target=\"_blank\">code</a></p>\n<p><strong>Winner presentations at the <a href=\"https://ilr-workshop.github.io/ECCVW2020/\" target=\"_blank\">ILR workshop</a></strong> (1st - keetar, 2nd - bysj and 5th - Open Neural Network Exchange):<br>\n<a href=\"https://www.youtube.com/watch?v=SGruUUe6nuk\" target=\"_blank\">video</a>, <a href=\"https://drive.google.com/file/d/1FB2C3iRa6I0LiAJOMfW4UtSVefQea_m2/view?usp=sharing\" target=\"_blank\">slides</a></p>\n<p>Congratulations again to the winners! </p>",
  "messages": [
    {
      "id": "1025601",
      "postDate": "09/24/2020 17:04:50",
      "content": "<p>Here's a list of the writeups and workshop presentations of the top approaches.</p>\n<p><strong>Writeups:</strong><br>\n1st place (keetar): <a href=\"https://arxiv.org/abs/2009.05132\" target=\"_blank\">paper</a>, <a href=\"https://www.kaggle.com/c/landmark-retrieval-2020/discussion/176037\" target=\"_blank\">post</a>, <a href=\"https://github.com/seungkee/google_landmark_retrieval_2020_1st_place_solution\" target=\"_blank\">code</a><br>\n2nd place (bysj): <a href=\"https://vis-bj.bj.bcebos.com/landmark/landmark2020_retrieval.pdf\" target=\"_blank\">paper</a>, <a href=\"https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177078\" target=\"_blank\">post</a>, <a href=\"https://github.com/feymanpriv/pymetric\" target=\"_blank\">code</a><br>\n3rd place (TRT): <a href=\"https://arxiv.org/abs/2008.10480\" target=\"_blank\">paper</a>, <a href=\"https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177162\" target=\"_blank\">post</a>, <a href=\"https://github.com/Raykoooo/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020\" target=\"_blank\">code</a></p>\n<p><strong>Winner presentations at the <a href=\"https://ilr-workshop.github.io/ECCVW2020/\" target=\"_blank\">ILR workshop</a></strong> (1st - keetar, 2nd - bysj and 5th - Open Neural Network Exchange):<br>\n<a href=\"https://www.youtube.com/watch?v=SGruUUe6nuk\" target=\"_blank\">video</a>, <a href=\"https://drive.google.com/file/d/1FB2C3iRa6I0LiAJOMfW4UtSVefQea_m2/view?usp=sharing\" target=\"_blank\">slides</a></p>\n<p>Congratulations again to the winners! </p>",
      "rawMarkdown": "Here's a list of the writeups and workshop presentations of the top approaches.\n\n**Writeups:**\n1st place (keetar): [paper](https://arxiv.org/abs/2009.05132), [post](https://www.kaggle.com/c/landmark-retrieval-2020/discussion/176037), [code](https://github.com/seungkee/google_landmark_retrieval_2020_1st_place_solution)\n2nd place (bysj): [paper](https://vis-bj.bj.bcebos.com/landmark/landmark2020_retrieval.pdf), [post](https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177078), [code](https://github.com/feymanpriv/pymetric)\n3rd place (TRT): [paper](https://arxiv.org/abs/2008.10480), [post](https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177162), [code](https://github.com/Raykoooo/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020)\n\n**Winner presentations at the [ILR workshop](https://ilr-workshop.github.io/ECCVW2020/)** (1st - keetar, 2nd - bysj and 5th - Open Neural Network Exchange):\n[video](https://www.youtube.com/watch?v=SGruUUe6nuk), [slides](https://drive.google.com/file/d/1FB2C3iRa6I0LiAJOMfW4UtSVefQea_m2/view?usp=sharing)\n\nCongratulations again to the winners!",
      "votes": null
    },
    {
      "id": "1025994",
      "postDate": "09/25/2020 00:40:29",
      "content": "<p>The 2nd place's link doesn't work.</p>",
      "rawMarkdown": "The 2nd place's link doesn't work.",
      "votes": null
    },
    {
      "id": "1043087",
      "postDate": "10/08/2020 17:11:59",
      "content": "<p>It works for me.</p>",
      "rawMarkdown": "It works for me.",
      "votes": null
    },
    {
      "id": "1049593",
      "postDate": "10/14/2020 15:05:56",
      "content": "<p>When they submit their code? I want to know how they did?<br>\nThanks.</p>",
      "rawMarkdown": "When they submit their code? I want to know how they did?\nThanks.",
      "votes": null
    },
    {
      "id": "1102486",
      "postDate": "12/05/2020 01:58:39",
      "content": "<p>FYI, I just updated the original post with links to code and forum posts of the winning teams and added a link to the slides of the winners' presentations at the workshop.</p>",
      "rawMarkdown": "FYI, I just updated the original post with links to code and forum posts of the winning teams and added a link to the slides of the winners' presentations at the workshop.",
      "votes": null
    },
    {
      "id": "1331274",
      "postDate": "06/01/2021 11:30:07",
      "content": "<p>Nice competition!</p>",
      "rawMarkdown": "Nice competition!",
      "votes": null
    },
    {
      "id": "1450264",
      "postDate": "08/05/2021 04:30:14",
      "content": "<p>Nice competition :)))</p>",
      "rawMarkdown": "Nice competition :)))",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1025994,
      "author_name": "chankhavu",
      "author_url": "",
      "post_date": "09/25/2020 00:40:29",
      "content": "<p>The 2nd place's link doesn't work.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1043087,
          "author_name": "andrefaraujo",
          "author_url": "",
          "post_date": "10/08/2020 17:11:59",
          "content": "<p>It works for me.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1049593,
      "author_name": "minhtuan11299",
      "author_url": "",
      "post_date": "10/14/2020 15:05:56",
      "content": "<p>When they submit their code? I want to know how they did?<br>\nThanks.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1102486,
      "author_name": "tobwey",
      "author_url": "",
      "post_date": "12/05/2020 01:58:39",
      "content": "<p>FYI, I just updated the original post with links to code and forum posts of the winning teams and added a link to the slides of the winners' presentations at the workshop.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1331274,
      "author_name": "nikitast",
      "author_url": "",
      "post_date": "06/01/2021 11:30:07",
      "content": "<p>Nice competition!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1450264,
      "author_name": "fateme72",
      "author_url": "",
      "post_date": "08/05/2021 04:30:14",
      "content": "<p>Nice competition :)))</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1025601": "Here's a list of the writeups and workshop presentations of the top approaches.\n\n**Writeups:**\n1st place (keetar): [paper](https://arxiv.org/abs/2009.05132), [post](https://www.kaggle.com/c/landmark-retrieval-2020/discussion/176037), [code](https://github.com/seungkee/google_landmark_retrieval_2020_1st_place_solution)\n2nd place (bysj): [paper](https://vis-bj.bj.bcebos.com/landmark/landmark2020_retrieval.pdf), [post](https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177078), [code](https://github.com/feymanpriv/pymetric)\n3rd place (TRT): [paper](https://arxiv.org/abs/2008.10480), [post](https://www.kaggle.com/c/landmark-retrieval-2020/discussion/177162), [code](https://github.com/Raykoooo/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020)\n\n**Winner presentations at the [ILR workshop](https://ilr-workshop.github.io/ECCVW2020/)** (1st - keetar, 2nd - bysj and 5th - Open Neural Network Exchange):\n[video](https://www.youtube.com/watch?v=SGruUUe6nuk), [slides](https://drive.google.com/file/d/1FB2C3iRa6I0LiAJOMfW4UtSVefQea_m2/view?usp=sharing)\n\nCongratulations again to the winners!",
    "1025994": "The 2nd place's link doesn't work.",
    "1043087": "It works for me.",
    "1049593": "When they submit their code? I want to know how they did?\nThanks.",
    "1102486": "FYI, I just updated the original post with links to code and forum posts of the winning teams and added a link to the slides of the winners' presentations at the workshop.",
    "1331274": "Nice competition!",
    "1450264": "Nice competition :)))"
  },
  "source": "meta"
}