{
  "id": 199413,
  "title": "Comparison of loss functions for segmentation",
  "url": "/competitions/hubmap-kidney-segmentation/discussion/199413",
  "author_name": "Zakirov Jamil",
  "post_date": "2020-11-25T16:41:26.540000",
  "votes": 16,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi all!</p>\n<p>Recently found 2 interesting works that make an overview of existing losses for semantic segmentation. Both published recently and compare lot's of different methods. Can be helpful in this competition. <br>\n1.<a href=\"https://arxiv.org/pdf/2005.13449.pdf\" target=\"_blank\">Segmentation Loss Odyssey</a><br>\n2.<a href=\"https://arxiv.org/pdf/2006.14822.pdf\" target=\"_blank\">A survey of loss functions for semantic segmentation</a></p>\n<p>Also here is Github with most of mentioned metrics implemented: <a href=\"https://github.com/JunMa11/SegLoss\" target=\"_blank\">https://github.com/JunMa11/SegLoss</a></p>",
  "messages": [
    {
      "id": 1090889,
      "postDate": "2020-11-25T16:41:26.540Z",
      "content": "<p>Hi all!</p>\n<p>Recently found 2 interesting works that make an overview of existing losses for semantic segmentation. Both published recently and compare lot's of different methods. Can be helpful in this competition. <br>\n1.<a href=\"https://arxiv.org/pdf/2005.13449.pdf\" target=\"_blank\">Segmentation Loss Odyssey</a><br>\n2.<a href=\"https://arxiv.org/pdf/2006.14822.pdf\" target=\"_blank\">A survey of loss functions for semantic segmentation</a></p>\n<p>Also here is Github with most of mentioned metrics implemented: <a href=\"https://github.com/JunMa11/SegLoss\" target=\"_blank\">https://github.com/JunMa11/SegLoss</a></p>",
      "rawMarkdown": "Hi all!\n\nRecently found 2 interesting works that make an overview of existing losses for semantic segmentation. Both published recently and compare lot's of different methods. Can be helpful in this competition. \n1.[Segmentation Loss Odyssey](https://arxiv.org/pdf/2005.13449.pdf)\n2.[A survey of loss functions for semantic segmentation](https://arxiv.org/pdf/2006.14822.pdf)\n\nAlso here is Github with most of mentioned metrics implemented: https://github.com/JunMa11/SegLoss",
      "votes": 16
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1090889": "Hi all!\n\nRecently found 2 interesting works that make an overview of existing losses for semantic segmentation. Both published recently and compare lot's of different methods. Can be helpful in this competition. \n1.[Segmentation Loss Odyssey](https://arxiv.org/pdf/2005.13449.pdf)\n2.[A survey of loss functions for semantic segmentation](https://arxiv.org/pdf/2006.14822.pdf)\n\nAlso here is Github with most of mentioned metrics implemented: https://github.com/JunMa11/SegLoss"
  }
}