{
"id": 278988,
"title": "Top Papers on Instance Segmentation (With Codes)",
"url": "/competitions/hubmap-kidney-segmentation/discussion/278988",
"author_name": "Marc Ghanem",
"post_date": "2021-10-16T09:21:40.726000",
"votes": 6,
"comment_count": 0,
"views": 0,
"content": "\n- The surprising impact of mask-head architecture on novel class segmentation https://arxiv.org/pdf/2104.00613v2.pdf
\n- SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization https://arxiv.org/pdf/1912.05027v3.pdf
\n- Mask R-CNN https://arxiv.org/pdf/1703.06870v3.pdf
\n- Learning to Segment Every Thing https://arxiv.org/pdf/1711.10370v2.pdf
\n- Non-local Neural Networks https://arxiv.org/pdf/1711.07971v3.pdf
\n- Panoptic-DeepLab https://arxiv.org/pdf/1910.04751v3.pdf
\n- Pointly-Supervised Instance Segmentation https://arxiv.org/pdf/2104.06404v1.pdf
\n- PointRend: Image Segmentation as Rendering https://arxiv.org/pdf/1912.08193v2.pdf
\n- TensorMask: A Foundation for Dense Object Segmentation https://arxiv.org/pdf/1903.12174v2.pdf
\n- Panoptic Feature Pyramid Networks https://arxiv.org/pdf/1901.02446v2.pdf
\n
",
"messages": [
{
"id": 1546542,
"postDate": "2021-10-16T09:21:40.727Z",
"content": "\n- The surprising impact of mask-head architecture on novel class segmentation https://arxiv.org/pdf/2104.00613v2.pdf
\n- SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization https://arxiv.org/pdf/1912.05027v3.pdf
\n- Mask R-CNN https://arxiv.org/pdf/1703.06870v3.pdf
\n- Learning to Segment Every Thing https://arxiv.org/pdf/1711.10370v2.pdf
\n- Non-local Neural Networks https://arxiv.org/pdf/1711.07971v3.pdf
\n- Panoptic-DeepLab https://arxiv.org/pdf/1910.04751v3.pdf
\n- Pointly-Supervised Instance Segmentation https://arxiv.org/pdf/2104.06404v1.pdf
\n- PointRend: Image Segmentation as Rendering https://arxiv.org/pdf/1912.08193v2.pdf
\n- TensorMask: A Foundation for Dense Object Segmentation https://arxiv.org/pdf/1903.12174v2.pdf
\n- Panoptic Feature Pyramid Networks https://arxiv.org/pdf/1901.02446v2.pdf
\n
",
"rawMarkdown": "1. 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\n",
"votes": 5
}
],
"comments": [],
"raw_markdown_by_id": {
"1546542": "1. 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\n"
}
}