{
  "id": 278989,
  "title": "Top Instance Segmentation Papers with Code",
  "url": "/competitions/sartorius-cell-instance-segmentation/discussion/278989",
  "author_name": "Marc Ghanem",
  "post_date": "2021-10-16T09:27:00.588000",
  "votes": 14,
  "comment_count": 1,
  "views": 0,
  "content": "<p><strong>Top Instance Segmentation Papers with Code</strong></p>\n<ol>\n<li>The surprising impact of mask-head architecture on novel class segmentation <a href=\"https://arxiv.org/pdf/2104.00613v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/2104.00613v2.pdf</a></li>\n<li>SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization <a href=\"https://arxiv.org/pdf/1912.05027v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1912.05027v3.pdf</a></li>\n<li>Mask R-CNN <a href=\"https://arxiv.org/pdf/1703.06870v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1703.06870v3.pdf</a></li>\n<li>Learning to Segment Every Thing <a href=\"https://arxiv.org/pdf/1711.10370v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1711.10370v2.pdf</a></li>\n<li>Non-local Neural Networks <a href=\"https://arxiv.org/pdf/1711.07971v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1711.07971v3.pdf</a></li>\n<li>Panoptic-DeepLab <a href=\"https://arxiv.org/pdf/1910.04751v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1910.04751v3.pdf</a></li>\n<li>Pointly-Supervised Instance Segmentation <a href=\"https://arxiv.org/pdf/2104.06404v1.pdf\" target=\"_blank\">https://arxiv.org/pdf/2104.06404v1.pdf</a></li>\n<li>PointRend: Image Segmentation as Rendering <a href=\"https://arxiv.org/pdf/1912.08193v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1912.08193v2.pdf</a></li>\n<li>TensorMask: A Foundation for Dense Object Segmentation <a href=\"https://arxiv.org/pdf/1903.12174v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1903.12174v2.pdf</a></li>\n<li>Panoptic Feature Pyramid Networks <a href=\"https://arxiv.org/pdf/1901.02446v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1901.02446v2.pdf</a></li>\n</ol>\n<p>Please share other useful papers you find in the comment section!</p>",
  "messages": [
    {
      "id": 1546549,
      "postDate": "2021-10-16T09:27:00.587Z",
      "content": "<p><strong>Top Instance Segmentation Papers with Code</strong></p>\n<ol>\n<li>The surprising impact of mask-head architecture on novel class segmentation <a href=\"https://arxiv.org/pdf/2104.00613v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/2104.00613v2.pdf</a></li>\n<li>SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization <a href=\"https://arxiv.org/pdf/1912.05027v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1912.05027v3.pdf</a></li>\n<li>Mask R-CNN <a href=\"https://arxiv.org/pdf/1703.06870v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1703.06870v3.pdf</a></li>\n<li>Learning to Segment Every Thing <a href=\"https://arxiv.org/pdf/1711.10370v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1711.10370v2.pdf</a></li>\n<li>Non-local Neural Networks <a href=\"https://arxiv.org/pdf/1711.07971v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1711.07971v3.pdf</a></li>\n<li>Panoptic-DeepLab <a href=\"https://arxiv.org/pdf/1910.04751v3.pdf\" target=\"_blank\">https://arxiv.org/pdf/1910.04751v3.pdf</a></li>\n<li>Pointly-Supervised Instance Segmentation <a href=\"https://arxiv.org/pdf/2104.06404v1.pdf\" target=\"_blank\">https://arxiv.org/pdf/2104.06404v1.pdf</a></li>\n<li>PointRend: Image Segmentation as Rendering <a href=\"https://arxiv.org/pdf/1912.08193v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1912.08193v2.pdf</a></li>\n<li>TensorMask: A Foundation for Dense Object Segmentation <a href=\"https://arxiv.org/pdf/1903.12174v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1903.12174v2.pdf</a></li>\n<li>Panoptic Feature Pyramid Networks <a href=\"https://arxiv.org/pdf/1901.02446v2.pdf\" target=\"_blank\">https://arxiv.org/pdf/1901.02446v2.pdf</a></li>\n</ol>\n<p>Please share other useful papers you find in the comment section!</p>",
      "rawMarkdown": "**Top Instance Segmentation Papers with Code**\n\n1. The surprising impact of mask-head architecture on novel class segmentation https://arxiv.org/pdf/2104.00613v2.pdf\n2. SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization https://arxiv.org/pdf/1912.05027v3.pdf\n3. Mask R-CNN https://arxiv.org/pdf/1703.06870v3.pdf\n4. Learning to Segment Every Thing https://arxiv.org/pdf/1711.10370v2.pdf\n5. Non-local Neural Networks https://arxiv.org/pdf/1711.07971v3.pdf\n6. Panoptic-DeepLab https://arxiv.org/pdf/1910.04751v3.pdf\n7. Pointly-Supervised Instance Segmentation https://arxiv.org/pdf/2104.06404v1.pdf\n8. PointRend: Image Segmentation as Rendering https://arxiv.org/pdf/1912.08193v2.pdf\n9. TensorMask: A Foundation for Dense Object Segmentation https://arxiv.org/pdf/1903.12174v2.pdf\n10. Panoptic Feature Pyramid Networks https://arxiv.org/pdf/1901.02446v2.pdf\n\nPlease share other useful papers you find in the comment section!\n",
      "votes": 13
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      "postDate": "2021-11-02T15:31:31.070Z",
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      "post_date": "2021-11-02T15:31:31.070000",
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  "raw_markdown_by_id": {
    "1546549": "**Top Instance Segmentation Papers with Code**\n\n1. The surprising impact of mask-head architecture on novel class segmentation https://arxiv.org/pdf/2104.00613v2.pdf\n2. SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization https://arxiv.org/pdf/1912.05027v3.pdf\n3. Mask R-CNN https://arxiv.org/pdf/1703.06870v3.pdf\n4. Learning to Segment Every Thing https://arxiv.org/pdf/1711.10370v2.pdf\n5. Non-local Neural Networks https://arxiv.org/pdf/1711.07971v3.pdf\n6. Panoptic-DeepLab https://arxiv.org/pdf/1910.04751v3.pdf\n7. Pointly-Supervised Instance Segmentation https://arxiv.org/pdf/2104.06404v1.pdf\n8. PointRend: Image Segmentation as Rendering https://arxiv.org/pdf/1912.08193v2.pdf\n9. TensorMask: A Foundation for Dense Object Segmentation https://arxiv.org/pdf/1903.12174v2.pdf\n10. Panoptic Feature Pyramid Networks https://arxiv.org/pdf/1901.02446v2.pdf\n\nPlease share other useful papers you find in the comment section!\n",
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}