task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | 2/3D | null | Sensitivity | 0.603 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | ACSNet | null | S measure | 0.782 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | ACSNet | null | mean E-measure | 0.779 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | ACSNet | null | weighted F-measure | 0.642 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | ACSNet | null | mean F-measure | 0.688 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | ACSNet | null | Dice | 0.713 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | ACSNet | null | Sensitivity | 0.601 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | MAT | https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation | S measure | 0.770 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | MAT | https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation | mean E-measure | 0.737 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | MAT | https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation | weighted F-measure | 0.575 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | MAT | https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation | mean F-measure | 0.641 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | MAT | https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation | Dice | 0.710 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | MAT | https://www.researchgate.net/publication/343623463_MATNet_Motion-Attentive_Transition_Network_for_Zero-Shot_Video_Object_Segmentation | Sensitivity | 0.542 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | FSNet | https://arxiv.org/abs/2108.03151v3 | S measure | 0.725 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | FSNet | https://arxiv.org/abs/2108.03151v3 | mean E-measure | 0.695 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | FSNet | https://arxiv.org/abs/2108.03151v3 | weighted F-measure | 0.551 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | FSNet | https://arxiv.org/abs/2108.03151v3 | mean F-measure | 0.630 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | FSNet | https://arxiv.org/abs/2108.03151v3 | Dice | 0.702 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | FSNet | https://arxiv.org/abs/2108.03151v3 | Sensitivity | 0.493 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PNSNet | https://arxiv.org/abs/2105.08468v2 | S measure | 0.767 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PNSNet | https://arxiv.org/abs/2105.08468v2 | mean E-measure | 0.744 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PNSNet | https://arxiv.org/abs/2105.08468v2 | weighted F-measure | 0.616 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PNSNet | https://arxiv.org/abs/2105.08468v2 | mean F-measure | 0.664 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PNSNet | https://arxiv.org/abs/2105.08468v2 | Dice | 0.676 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PNSNet | https://arxiv.org/abs/2105.08468v2 | Sensitivity | 0.574 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | SANet | https://arxiv.org/abs/2108.00882v1 | S measure | 0.720 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | SANet | https://arxiv.org/abs/2108.00882v1 | mean E-measure | 0.745 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | SANet | https://arxiv.org/abs/2108.00882v1 | weighted F-measure | 0.566 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | SANet | https://arxiv.org/abs/2108.00882v1 | mean F-measure | 0.634 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | SANet | https://arxiv.org/abs/2108.00882v1 | Dice | 0.649 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | SANet | https://arxiv.org/abs/2108.00882v1 | Sensitivity | 0.521 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PraNet | https://arxiv.org/abs/2006.11392v4 | S measure | 0.733 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PraNet | https://arxiv.org/abs/2006.11392v4 | mean E-measure | 0.753 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PraNet | https://arxiv.org/abs/2006.11392v4 | weighted F-measure | 0.572 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PraNet | https://arxiv.org/abs/2006.11392v4 | mean F-measure | 0.632 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PraNet | https://arxiv.org/abs/2006.11392v4 | Dice | 0.621 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PraNet | https://arxiv.org/abs/2006.11392v4 | Sensitivity | 0.524 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | COSNet | https://arxiv.org/abs/2001.06810v1 | S measure | 0.654 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | COSNet | https://arxiv.org/abs/2001.06810v1 | mean E-measure | 0.600 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | COSNet | https://arxiv.org/abs/2001.06810v1 | weighted F-measure | 0.431 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | COSNet | https://arxiv.org/abs/2001.06810v1 | mean F-measure | 0.496 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | COSNet | https://arxiv.org/abs/2001.06810v1 | Dice | 0.596 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | COSNet | https://arxiv.org/abs/2001.06810v1 | Sensitivity | 0.359 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PCSA | null | S measure | 0.680 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PCSA | null | mean E-measure | 0.660 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PCSA | null | weighted F-measure | 0.451 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PCSA | null | mean F-measure | 0.519 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PCSA | null | Dice | 0.592 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | PCSA | null | Sensitivity | 0.398 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | DCF | http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Dynamic_Context-Sensitive_Filtering_Network_for_Video_Salient_Object_Detection_ICCV_2021_paper.html | S measure | 0.523 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | DCF | http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Dynamic_Context-Sensitive_Filtering_Network_for_Video_Salient_Object_Detection_ICCV_2021_paper.html | mean E-measure | 0.514 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | DCF | http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Dynamic_Context-Sensitive_Filtering_Network_for_Video_Salient_Object_Detection_ICCV_2021_paper.html | weighted F-measure | 0.270 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | DCF | http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Dynamic_Context-Sensitive_Filtering_Network_for_Video_Salient_Object_Detection_ICCV_2021_paper.html | mean F-measure | 0.312 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | DCF | http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Dynamic_Context-Sensitive_Filtering_Network_for_Video_Salient_Object_Detection_ICCV_2021_paper.html | Dice | 0.325 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | DCF | http://openaccess.thecvf.com//content/ICCV2021/html/Zhang_Dynamic_Context-Sensitive_Filtering_Network_for_Video_Salient_Object_Detection_ICCV_2021_paper.html | Sensitivity | 0.340 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | AMD | https://arxiv.org/abs/2111.06394v1 | S measure | 0.474 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | AMD | https://arxiv.org/abs/2111.06394v1 | mean E-measure | 0.533 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | AMD | https://arxiv.org/abs/2111.06394v1 | weighted F-measure | 0.133 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | AMD | https://arxiv.org/abs/2111.06394v1 | mean F-measure | 0.146 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | AMD | https://arxiv.org/abs/2111.06394v1 | Dice | 0.266 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | AMD | https://arxiv.org/abs/2111.06394v1 | Sensitivity | 0.222 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | UNet++ | http://arxiv.org/abs/1807.10165v1 | Sensitivity | 0.457 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Easy (Unseen) | UNet | http://arxiv.org/abs/1505.04597v1 | Sensitivity | 0.420 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | LGRNet | https://arxiv.org/abs/2407.05703v1 | Dice | 0.876 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | LGRNet | https://arxiv.org/abs/2407.05703v1 | IoU | 0.805 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | MS-TFAL | https://arxiv.org/abs/2307.05898v1 | Dice | 0.862 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | MS-TFAL | https://arxiv.org/abs/2307.05898v1 | IoU | 0.788 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | FLA-Net | https://arxiv.org/abs/2310.01861v1 | Dice | 0.858 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | FLA-Net | https://arxiv.org/abs/2310.01861v1 | IoU | 0.781 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | WeakPolyP | https://arxiv.org/abs/2307.10912v1 | Dice | 0.854 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | WeakPolyP | https://arxiv.org/abs/2307.10912v1 | IoU | 0.777 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet++ | http://arxiv.org/abs/1807.10165v1 | S-Measure | 0.685 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet++ | http://arxiv.org/abs/1807.10165v1 | mean E-measure | 0.697 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet++ | http://arxiv.org/abs/1807.10165v1 | weighted F-measure | 0.480 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet++ | http://arxiv.org/abs/1807.10165v1 | mean F-measure | 0.544 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet++ | http://arxiv.org/abs/1807.10165v1 | Dice | 0.554 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet | http://arxiv.org/abs/1505.04597v1 | S-Measure | 0.670 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard | UNet | http://arxiv.org/abs/1505.04597v1 | Dice | 0.542 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | YOLO-SAM 2 | https://arxiv.org/abs/2409.09484v1 | S-Measure | 0.894 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | YOLO-SAM 2 | https://arxiv.org/abs/2409.09484v1 | mean E-measure | 0.941 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | YOLO-SAM 2 | https://arxiv.org/abs/2409.09484v1 | mean F-measure | 0.932 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | YOLO-SAM 2 | https://arxiv.org/abs/2409.09484v1 | Dice | 0.902 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | YOLO-SAM 2 | https://arxiv.org/abs/2409.09484v1 | Sensitivity | 0.852 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | LGRNet | https://arxiv.org/abs/2407.05703v1 | Dice | 0.865 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | LGRNet | https://arxiv.org/abs/2407.05703v1 | mean IoU | 0.792 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | SALI | https://arxiv.org/abs/2406.13532v1 | S-Measure | 0.874 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | SALI | https://arxiv.org/abs/2406.13532v1 | mean E-measure | 0.920 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | SALI | https://arxiv.org/abs/2406.13532v1 | weighted F-measure | 0.790 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | SALI | https://arxiv.org/abs/2406.13532v1 | mean F-measure | 0.822 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | SALI | https://arxiv.org/abs/2406.13532v1 | Dice | 0.822 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | SALI | https://arxiv.org/abs/2406.13532v1 | Sensitivity | 0.830 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | AutoSAM | https://arxiv.org/abs/2306.06370v1 | S-Measure | 0.822 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | AutoSAM | https://arxiv.org/abs/2306.06370v1 | mean E-measure | 0.866 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | AutoSAM | https://arxiv.org/abs/2306.06370v1 | weighted F-measure | 0.714 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | AutoSAM | https://arxiv.org/abs/2306.06370v1 | mean F-measure | 0.764 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | AutoSAM | https://arxiv.org/abs/2306.06370v1 | Dice | 0.759 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | AutoSAM | https://arxiv.org/abs/2306.06370v1 | Sensitivity | 0.726 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | PNS+ | https://arxiv.org/abs/2203.14291v3 | S-Measure | 0.797 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | PNS+ | https://arxiv.org/abs/2203.14291v3 | mean E-measure | 0.793 |
Medical Image Segmentation > Video Polyp Segmentation | SUN-SEG-Hard (Unseen) | PNS+ | https://arxiv.org/abs/2203.14291v3 | weighted F-measure | 0.653 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.