{
  "id": 264657,
  "title": "Useful Research Papers for Competition. ",
  "url": "/competitions/landmark-recognition-2021/discussion/264657",
  "author_name": "",
  "post_date": "2021-08-12T18:31:38.302347500Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi All,</p>\n<p>Here are a few Useful Research Papers for Competition. If you come across others, please do add in comments so that all of us may reference and learn. Thank you</p>\n<p><a href=\"url\" target=\"_blank\">https://arxiv.org/abs/2010.01650</a> This paper is by Christof Henkel, Philipp Singer who won the 1st prize last year</p>\n<p>Supporting large-scale image recognition with out-of-domain samples<br>\n<a href=\"url\" target=\"_blank\">https://arxiv.org/abs/2007.13172</a></p>\n<p>Unifying Deep Local and Global Features for Image search<br>\n<a href=\"https://arxiv.org/abs/2001.05027&lt;a\" target=\"_blank\">https://arxiv.org/abs/2001.05027 href=\"url\" rel=\"noopener noreferrer\" target=\"_blank\"&gt;https://arxiv.org/abs/2001.05027</a></p>",
  "messages": [
    {
      "id": "1469164",
      "postDate": "08/12/2021 18:31:38",
      "content": "<p>Hi All,</p>\n<p>Here are a few Useful Research Papers for Competition. If you come across others, please do add in comments so that all of us may reference and learn. Thank you</p>\n<p><a href=\"url\" target=\"_blank\">https://arxiv.org/abs/2010.01650</a> This paper is by Christof Henkel, Philipp Singer who won the 1st prize last year</p>\n<p>Supporting large-scale image recognition with out-of-domain samples<br>\n<a href=\"url\" target=\"_blank\">https://arxiv.org/abs/2007.13172</a></p>\n<p>Unifying Deep Local and Global Features for Image search<br>\n<a href=\"https://arxiv.org/abs/2001.05027&lt;a\" target=\"_blank\">https://arxiv.org/abs/2001.05027 href=\"url\" rel=\"noopener noreferrer\" target=\"_blank\"&gt;https://arxiv.org/abs/2001.05027</a></p>",
      "rawMarkdown": "Hi All,\n\nHere are a few Useful Research Papers for Competition. If you come across others, please do add in comments so that all of us may reference and learn. Thank you\n\n[https://arxiv.org/abs/2010.01650](url) This paper is by Christof Henkel, Philipp Singer who won the 1st prize last year\n\nSupporting large-scale image recognition with out-of-domain samples\n[https://arxiv.org/abs/2007.13172](url)\n\nUnifying Deep Local and Global Features for Image search\nhttps://arxiv.org/abs/2001.05027[https://arxiv.org/abs/2001.05027](url)",
      "votes": null
    },
    {
      "id": "1472270",
      "postDate": "08/14/2021 18:43:18",
      "content": "<p>This is so under-rated.<br>\nGreat job brother!<br>\nUpvoted!👍<br>\nIf you have time, take a look at my notebooks and give your valuable feedback <a href=\"https://www.kaggle.com/hasnainajmal281\" target=\"_blank\">@hasnainajmal281</a> </p>",
      "rawMarkdown": "This is so under-rated.\nGreat job brother!\nUpvoted!👍\nIf you have time, take a look at my notebooks and give your valuable feedback @hasnainajmal281",
      "votes": null
    },
    {
      "id": "1479451",
      "postDate": "08/18/2021 13:24:31",
      "content": "<p>hi <a href=\"https://www.kaggle.com/hasnainajmal281\" target=\"_blank\">@hasnainajmal281</a> <br>\nThis post is a direct copy of my earlier discussion post : <a href=\"https://www.kaggle.com/c/landmark-recognition-2021/discussion/264456\" target=\"_blank\">https://www.kaggle.com/c/landmark-recognition-2021/discussion/264456</a> <br>\nI am flattered … plagiarism is the best form of flattery</p>",
      "rawMarkdown": "hi @hasnainajmal281 \nThis post is a direct copy of my earlier discussion post : https://www.kaggle.com/c/landmark-recognition-2021/discussion/264456 \nI am flattered ... plagiarism is the best form of flattery",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1472270,
      "author_name": "imnoob",
      "author_url": "",
      "post_date": "08/14/2021 18:43:18",
      "content": "<p>This is so under-rated.<br>\nGreat job brother!<br>\nUpvoted!👍<br>\nIf you have time, take a look at my notebooks and give your valuable feedback <a href=\"https://www.kaggle.com/hasnainajmal281\" target=\"_blank\">@hasnainajmal281</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1479451,
      "author_name": "kmldas",
      "author_url": "",
      "post_date": "08/18/2021 13:24:31",
      "content": "<p>hi <a href=\"https://www.kaggle.com/hasnainajmal281\" target=\"_blank\">@hasnainajmal281</a> <br>\nThis post is a direct copy of my earlier discussion post : <a href=\"https://www.kaggle.com/c/landmark-recognition-2021/discussion/264456\" target=\"_blank\">https://www.kaggle.com/c/landmark-recognition-2021/discussion/264456</a> <br>\nI am flattered … plagiarism is the best form of flattery</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1469164": "Hi All,\n\nHere are a few Useful Research Papers for Competition. If you come across others, please do add in comments so that all of us may reference and learn. Thank you\n\n[https://arxiv.org/abs/2010.01650](url) This paper is by Christof Henkel, Philipp Singer who won the 1st prize last year\n\nSupporting large-scale image recognition with out-of-domain samples\n[https://arxiv.org/abs/2007.13172](url)\n\nUnifying Deep Local and Global Features for Image search\nhttps://arxiv.org/abs/2001.05027[https://arxiv.org/abs/2001.05027](url)",
    "1472270": "This is so under-rated.\nGreat job brother!\nUpvoted!👍\nIf you have time, take a look at my notebooks and give your valuable feedback @hasnainajmal281",
    "1479451": "hi @hasnainajmal281 \nThis post is a direct copy of my earlier discussion post : https://www.kaggle.com/c/landmark-recognition-2021/discussion/264456 \nI am flattered ... plagiarism is the best form of flattery"
  },
  "source": "meta"
}