{
  "id": 264451,
  "title": "Useful Research Papers for Competition",
  "url": "/competitions/landmark-retrieval-2021/discussion/264451",
  "author_name": "",
  "post_date": "2021-08-12T06:25:26.811503800Z",
  "votes": 8,
  "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=\"https://ieeexplore.ieee.org/document/7986979\" target=\"_blank\">Faster R-CNN for Same Object Retrieval</a></p>\n<p><a href=\"https://arxiv.org/pdf/1701.05003.pdf\" target=\"_blank\">Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval</a></p>\n<p><a href=\"https://www.researchgate.net/profile/Yang-Wang-51/publication/279724955_Effective_Multi-Query_Expansions_Robust_Landmark_Retrieval/links/55b5db6608aec0e5f436bfe2/Effective-Multi-Query-Expansions-Robust-Landmark-Retrieval.pdf\" target=\"_blank\">Effective Multi-Query Expansions: Robust Landmark Retrieval</a></p>\n<p><a href=\"https://arxiv.org/pdf/2004.01804.pdf\" target=\"_blank\">A Large-scale benchmark for instance-level recognition and retrieval</a></p>\n<p><a href=\"https://arxiv.org/abs/2007.07177\" target=\"_blank\">Conditional Image Retrieval (CIR) </a></p>\n<p><a href=\"https://ieeexplore.ieee.org/abstract/document/5089014\" target=\"_blank\">A Survey on Mobile Landmark Recognition for Information Retrieval</a></p>\n<p><a href=\"https://dl.acm.org/doi/10.1145/1873951.1873973\" target=\"_blank\">Retrieving Landmark and Non-Landmark Images from Community Photo Collections</a></p>",
  "messages": [
    {
      "id": "1467779",
      "postDate": "08/12/2021 06:25:26",
      "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=\"https://ieeexplore.ieee.org/document/7986979\" target=\"_blank\">Faster R-CNN for Same Object Retrieval</a></p>\n<p><a href=\"https://arxiv.org/pdf/1701.05003.pdf\" target=\"_blank\">Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval</a></p>\n<p><a href=\"https://www.researchgate.net/profile/Yang-Wang-51/publication/279724955_Effective_Multi-Query_Expansions_Robust_Landmark_Retrieval/links/55b5db6608aec0e5f436bfe2/Effective-Multi-Query-Expansions-Robust-Landmark-Retrieval.pdf\" target=\"_blank\">Effective Multi-Query Expansions: Robust Landmark Retrieval</a></p>\n<p><a href=\"https://arxiv.org/pdf/2004.01804.pdf\" target=\"_blank\">A Large-scale benchmark for instance-level recognition and retrieval</a></p>\n<p><a href=\"https://arxiv.org/abs/2007.07177\" target=\"_blank\">Conditional Image Retrieval (CIR) </a></p>\n<p><a href=\"https://ieeexplore.ieee.org/abstract/document/5089014\" target=\"_blank\">A Survey on Mobile Landmark Recognition for Information Retrieval</a></p>\n<p><a href=\"https://dl.acm.org/doi/10.1145/1873951.1873973\" target=\"_blank\">Retrieving Landmark and Non-Landmark Images from Community Photo Collections</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\n[Faster R-CNN for Same Object Retrieval](https://ieeexplore.ieee.org/document/7986979)\n\n[Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval](https://arxiv.org/pdf/1701.05003.pdf)\n\n[Effective Multi-Query Expansions: Robust Landmark Retrieval](https://www.researchgate.net/profile/Yang-Wang-51/publication/279724955_Effective_Multi-Query_Expansions_Robust_Landmark_Retrieval/links/55b5db6608aec0e5f436bfe2/Effective-Multi-Query-Expansions-Robust-Landmark-Retrieval.pdf)\n\n[A Large-scale benchmark for instance-level recognition and retrieval](https://arxiv.org/pdf/2004.01804.pdf)\n\n[Conditional Image Retrieval (CIR) ](https://arxiv.org/abs/2007.07177)\n\n[A Survey on Mobile Landmark Recognition for Information Retrieval](https://ieeexplore.ieee.org/abstract/document/5089014)\n\n\n[Retrieving Landmark and Non-Landmark Images from Community Photo Collections](https://dl.acm.org/doi/10.1145/1873951.1873973)",
      "votes": null
    },
    {
      "id": "1472957",
      "postDate": "08/15/2021 08:39:59",
      "content": "<p>Great work. Thanks for sharing.</p>",
      "rawMarkdown": "Great work. Thanks for sharing.",
      "votes": null
    },
    {
      "id": "1881394",
      "postDate": "08/02/2022 13:23:12",
      "content": "<p>Good job! Thanks.</p>",
      "rawMarkdown": "Good job! Thanks.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1472957,
      "author_name": "emresengul",
      "author_url": "",
      "post_date": "08/15/2021 08:39:59",
      "content": "<p>Great work. Thanks for sharing.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1881394,
      "author_name": "ahmetkrgztr",
      "author_url": "",
      "post_date": "08/02/2022 13:23:12",
      "content": "<p>Good job! Thanks.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1467779": "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\n[Faster R-CNN for Same Object Retrieval](https://ieeexplore.ieee.org/document/7986979)\n\n[Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval](https://arxiv.org/pdf/1701.05003.pdf)\n\n[Effective Multi-Query Expansions: Robust Landmark Retrieval](https://www.researchgate.net/profile/Yang-Wang-51/publication/279724955_Effective_Multi-Query_Expansions_Robust_Landmark_Retrieval/links/55b5db6608aec0e5f436bfe2/Effective-Multi-Query-Expansions-Robust-Landmark-Retrieval.pdf)\n\n[A Large-scale benchmark for instance-level recognition and retrieval](https://arxiv.org/pdf/2004.01804.pdf)\n\n[Conditional Image Retrieval (CIR) ](https://arxiv.org/abs/2007.07177)\n\n[A Survey on Mobile Landmark Recognition for Information Retrieval](https://ieeexplore.ieee.org/abstract/document/5089014)\n\n\n[Retrieving Landmark and Non-Landmark Images from Community Photo Collections](https://dl.acm.org/doi/10.1145/1873951.1873973)",
    "1472957": "Great work. Thanks for sharing.",
    "1881394": "Good job! Thanks."
  },
  "source": "meta"
}