Video Polyp Segmentation on SUN-SEG Easy (Seen)
94.4S_alphaSALI
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SALIMode=Seen, Backbone=PVTv22024.06 | 94.4 | 97.2 | 91 | 92.7 | 92.5 | 92.4 | — | — | |
| YOLO-SAM 22024.09 | 93.7 | 97.1 | — | 94.5 | 95.8 | 92.3 | — | — | |
| SLT-NetMode=Seen2024.06 | 92.7 | 96.1 | 89.4 | 90.6 | 91.4 | 88.8 | — | — | |
| SLT-Net2024.09 | 92.7 | 96.1 | — | 90.6 | 91.4 | 88.8 | — | — | |
| PraNetSupervision Setting=Fully Supervised2026.06 | 91.8 | 94.2 | 87.7 | 88.3 | — | — | 82.5 | 2 | |
| PNS+2022.03 | 91.7 | 92.4 | 84.8 | 88.8 | — | — | — | — | |
| PNS+Mode=Seen2024.06 | 91.7 | 92.4 | 84.8 | 88.8 | 87.8 | 83.7 | — | — | |
| PNS+2024.09 | 91.7 | 92.4 | — | 88.8 | 87.8 | 83.7 | — | — | |
| PNS+Supervision Setting=Fully Supervised2026.06 | 91.7 | 92.5 | 84.8 | 85.5 | — | — | 78.7 | 2.1 | |
| ARTEMISLabeled Training Data Ratio=1/82026.06 | 90.7 | 93.6 | 85.2 | 86.5 | — | — | 79.9 | 2.7 | |
| PNSNet2022.03 | 90.6 | 91 | 83.6 | 86.1 | — | — | — | — | |
| PNS-NetMode=Seen2024.06 | 90.6 | 91 | 83.6 | 86.1 | 86 | 82.7 | — | — | |
| FLA-NetMode=Seen2024.06 | 90.6 | 92.2 | 84.6 | 87.5 | 86.7 | 85.1 | — | — | |
| PNS-Net2024.09 | 90.6 | 91 | — | 86.1 | 86 | 82.7 | — | — | |
| FLA-Net2024.09 | 90.6 | 92.2 | — | 87.5 | 86.7 | 85.1 | — | — | |
| PNSSupervision Setting=Fully Supervised2026.06 | 90.6 | 91 | 83.6 | 84.1 | — | — | 78.3 | 2 | |
| ARTEMISLabeled Training Data Ratio=1/162026.06 | 89.9 | 92.4 | 84.3 | 85.5 | — | — | 78.9 | 3.4 | |
| ARTEMISSupervision Setting=Scribble Supervision2026.06 | 89.7 | 92.4 | 84.1 | 85.2 | — | — | 78.3 | 3.4 | |
| 2/3D2022.03 | 89.5 | 90.9 | 81.9 | 85.6 | — | — | — | — | |
| 2/3DMode=Seen2024.06 | 89.5 | 90.9 | 81.9 | 85.6 | 85.3 | 80.8 | — | — | |
| 2/3D2024.09 | 89.5 | 90.9 | — | 85.6 | 85.3 | 80.8 | — | — | |
| FSNet2022.03 | 89 | 89.5 | 81.8 | 87.3 | — | — | — | — | |
| SEELabeled Training Data Ratio=1/82026.06 | 88.1 | 91.3 | 81.9 | 83.9 | — | — | 76.7 | 4.9 | |
| MAT2022.03 | 87.9 | 86.1 | 73.1 | 83.3 | — | — | — | — | |
| KnowSAMLabeled Training Data Ratio=1/82026.06 | 87 | 89.8 | 80.3 | 81.6 | — | — | 74.1 | 5.3 | |
| ST-SAMLabeled Training Data Ratio=1/82026.06 | 86.7 | 89.1 | 67.3 | 81.4 | — | — | 73.5 | 6.7 | |
| ARTEMISSupervision Setting=Point Supervision2026.06 | 86.3 | 88.7 | 65.4 | 81.2 | — | — | 73.2 | 6.8 | |
| SEELabeled Training Data Ratio=1/162026.06 | 86.1 | 87.4 | 68.2 | 78.5 | — | — | 69.9 | 6.6 | |
| CMLLabeled Training Data Ratio=1/82026.06 | 85.5 | 87.4 | 63 | 79.7 | — | — | 71.2 | 7.9 | |
| PCSA2022.03 | 85.2 | 83.5 | 68.1 | 77.9 | — | — | — | — | |
| SEESupervision Setting=Scribble Supervision2026.06 | 85.2 | 87.3 | 62.6 | 79.6 | — | — | 70.8 | 8 | |
| AD-MTLabeled Training Data Ratio=1/82026.06 | 85.1 | 88 | 61.8 | 79.8 | — | — | 71 | 7.4 | |
| KnowSAMLabeled Training Data Ratio=1/162026.06 | 85 | 88.5 | 62 | 80.9 | — | — | 72.8 | 7.1 | |
| ProMaCSupervision Setting=Scribble Supervision2026.06 | 84.7 | 88.3 | 61.9 | 80.9 | — | — | 72.8 | 7.8 | |
| COSNet2022.03 | 84.5 | 83.6 | 72.7 | 80.4 | — | — | — | — | |
| ST-SAMLabeled Training Data Ratio=1/162026.06 | 84.5 | 87.9 | 60.1 | 80.1 | — | — | 71.9 | 7.5 | |
| WS-SAMSupervision Setting=Scribble Supervision2026.06 | 84.1 | 87.4 | 59.3 | 79.5 | — | — | 70.9 | 7.6 | |
| AD-MTLabeled Training Data Ratio=1/162026.06 | 83.9 | 87.9 | 58.8 | 80.1 | — | — | 71.8 | 7.7 | |
| CauSSLLabeled Training Data Ratio=1/82026.06 | 83.8 | 87.3 | 57.2 | 79.7 | — | — | 71.4 | 8.4 | |
| CMLLabeled Training Data Ratio=1/162026.06 | 83.7 | 87.8 | 58.6 | 80.1 | — | — | 71.9 | 7.7 | |
| SEESupervision Setting=Point Supervision2026.06 | 83.7 | 87.3 | 57.2 | 79.4 | — | — | 70.8 | 8 | |
| ProMaCSupervision Setting=Point Supervision2026.06 | 82.2 | 86 | 56.2 | 78 | — | — | 69.3 | 9.1 | |
| CauSSLLabeled Training Data Ratio=1/162026.06 | 81.7 | 86.3 | 54.1 | 78.4 | — | — | 69.6 | 8.7 | |
| WeakPolypSupervision Setting=Scribble Supervision2026.06 | 81.2 | 85 | 53.8 | 76.3 | — | — | 67.5 | 9 | |
| WS-SAMSupervision Setting=Point Supervision2026.06 | 81 | 85.4 | 52.5 | 77.6 | — | — | 69 | 9.4 | |
| MCFLabeled Training Data Ratio=1/82026.06 | 80.2 | 85.2 | 53.1 | 76.9 | — | — | 68.1 | 9.8 | |
| SCODSupervision Setting=Scribble Supervision2026.06 | 80.2 | 84.5 | 51 | 75.4 | — | — | 66.5 | 9.1 | |
| TELSupervision Setting=Scribble Supervision2026.06 | 79.8 | 83.7 | 51.4 | 75.7 | — | — | 67.1 | 10.7 | |
| SCWSSupervision Setting=Scribble Supervision2026.06 | 79.3 | 83.4 | 50.3 | 74.5 | — | — | 65.1 | 10 | |
| GenSAMSupervision Setting=Scribble Supervision2026.06 | 77.8 | 82.9 | 47.2 | 74.2 | — | — | 64.9 | 10.6 | |
| MCFLabeled Training Data Ratio=1/162026.06 | 77.7 | 83.1 | 48.3 | 75.1 | — | — | 66.3 | 11.3 | |
| TELSupervision Setting=Point Supervision2026.06 | 77.5 | 82.9 | 46.7 | 74.7 | — | — | 66 | 11.4 | |
| GenSAMSupervision Setting=Point Supervision2026.06 | 76.5 | 82.1 | 45.7 | 73.1 | — | — | 63.8 | 11.3 | |
| SCODSupervision Setting=Point Supervision2026.06 | 75.3 | 81.6 | 43.5 | 73.2 | — | — | 64.2 | 12.4 | |
| MTLabeled Training Data Ratio=1/82026.06 | 75.2 | 80.5 | 44.7 | 72.5 | — | — | 63.3 | 13.4 | |
| SCWSSupervision Setting=Point Supervision2026.06 | 74.6 | 80.9 | 41.5 | 71.6 | — | — | 62.1 | 12 | |
| MTLabeled Training Data Ratio=1/162026.06 | 74.4 | 79.9 | 41.4 | 70.4 | — | — | 60.6 | 12.3 | |
| SAM-WSSupervision Setting=Point Supervision2026.06 | 69.2 | 75.9 | 33.9 | 67.4 | — | — | 57.5 | 16.3 | |
| SAM-SLabeled Training Data Ratio=1/82026.06 | 67.6 | 71 | 28.7 | 61 | — | — | 50.1 | 17.4 | |
| SAM-WSSupervision Setting=Scribble Supervision2026.06 | 65.9 | 64.9 | 26.5 | 51.6 | — | — | 40.2 | 17.5 | |
| SAM-SLabeled Training Data Ratio=1/162026.06 | 65.6 | 68.9 | 26.9 | 57.6 | — | — | 46.6 | 18.5 | |
| DCF2022.03 | 57.2 | 59.1 | 35.7 | 39.8 | — | — | — | — | |
| AMD2022.03 | 47.1 | 52.6 | 11.4 | 24.5 | — | — | — | — |