Semantic Segmentation on CholecSeg8K (test)
78.4mIoUMask2Former
Evaluation results
| Method | Links | ||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mask2FormerType=Fully Supervised2025.12 | 78.4 | — | — | — | — | — | — | — | — | — | — | — | 98 | 92.1 | 92.5 | 80.7 | 90 | 84.8 | 78.8 | 61.3 | 65.7 | 91.3 | 88.6 | 0 | 95.8 | — | |
| DeGenseGS2026.07 | 68.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SurgTPGS2026.07 | 53.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LS-CAT-SegBase Model=LangSplat, Framework=CAT-Seg2026.07 | 39.37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DepSegFrac=1.02025.12 | 35.9 | — | — | — | — | — | — | — | — | — | — | — | 93.2 | 66.9 | 70.9 | 22.6 | 38.8 | 64.4 | 6.1 | 4.4 | 0 | 54.9 | 44.9 | 0 | 0 | — | |
| DepSegTop-k similarity (k)=72025.12 | 35.9 | — | — | — | — | — | — | — | — | — | — | — | 93.2 | 66.9 | 70.9 | 22.6 | 38.8 | 64.4 | 6.1 | 4.4 | 0 | 54.9 | 44.9 | 0 | 0 | — | |
| DepSegFrac=0.52025.12 | 34.2 | — | — | — | — | — | — | — | — | — | — | — | 94.9 | 67.5 | 70.2 | 23.8 | 41.3 | 61 | 5.9 | 6 | 0 | 29.7 | 44.7 | 0 | 0 | — | |
| DepSegTop-k similarity (k)=152025.12 | 34 | — | — | — | — | — | — | — | — | — | — | — | 94.7 | 68.8 | 71.1 | 24 | 41 | 60.9 | 6 | 3.2 | 0 | 27.2 | 45.7 | 0 | 0 | — | |
| DepSegFrac=0.82025.12 | 33.9 | — | — | — | — | — | — | — | — | — | — | — | 94.8 | 67 | 70.2 | 22.1 | 38.4 | 61.1 | 6 | 5.7 | 0 | 31 | 44.4 | 0 | 0 | — | |
| DepSegFrac=0.22025.12 | 33.6 | — | — | — | — | — | — | — | — | — | — | — | 94.9 | 67.6 | 70.3 | 31 | 47.3 | 57.7 | 6 | 3.5 | 0 | 13.1 | 45.6 | 0 | 0 | — | |
| SAM2 (auto) + Template MatchingModule=SAM2 (auto), Matching=Template2025.12 | 31.6 | — | — | — | — | — | — | — | — | — | — | — | 87 | 41.7 | 42.7 | 17.3 | 38.8 | 74.9 | 3.8 | 6.8 | 0 | 55.4 | 42 | 0 | 0 | — | |
| DepSegTop-k similarity (k)=32025.12 | 31.5 | — | — | — | — | — | — | — | — | — | — | — | 46.2 | 43.5 | 71 | 21.2 | 37.8 | 66.1 | 6.2 | 4.2 | 0 | 69.2 | 44.5 | 0 | 0 | — | |
| DepSegFrac=0.12025.12 | 31.2 | — | — | — | — | — | — | — | — | — | — | — | 94.8 | 61 | 66.7 | 29.3 | 54.6 | 56.9 | 0 | 0 | 0 | 0 | 42.3 | 0 | 0 | — | |
| DepSegFrac=0.012025.12 | 29.4 | — | — | — | — | — | — | — | — | — | — | — | 94.8 | 61.3 | 61.8 | 0 | 61.9 | 59.3 | 0 | 0 | 0 | 0 | 42.8 | 0 | 0 | — | |
| LangSplat2026.07 | 20.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LS-SurgVLPBase Model=LangSplat, Framework=SurgVLP2026.07 | 19.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Depth Prompt + Cosine MatchingModule=Depth Prompt, Matching=Cosine2025.12 | 15.9 | — | — | — | — | — | — | — | — | — | — | — | 55.7 | 5.2 | 13.6 | 12.5 | 56.5 | 5.3 | 4.9 | 0.1 | 0 | 12 | 40.7 | 0 | 0 | — | |
| SAM2 (auto) + Cosine MatchingType=Baseline, Matching=Cosine2025.12 | 14.7 | — | — | — | — | — | — | — | — | — | — | — | 46.6 | 14.3 | 14.8 | 10.5 | 60.7 | 2.4 | 1.1 | 0.1 | 0 | 5.9 | 35.2 | 0 | 0 | — | |
| DGD2026.07 | 8.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FE-4DGS2026.07 | 4.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OG-CAT-SegBase Model=OpenGaussian, Framework=CAT-Seg2026.07 | 3.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OG-SurgVLPBase Model=OpenGaussian, Framework=SurgVLP2026.07 | 1.38 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OpenGaussian2026.07 | 0.93 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Auxiliary feat.Runtime (ms)=0.0552023.11 | — | — | — | — | — | — | — | — | — | — | 16.87 | 71.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.35 | |
| ConfidNetRuntime (ms)=0.0572023.11 | — | — | — | — | — | — | — | — | — | — | 16.76 | 71.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.58 | |
| Deep EnsembleRuntime (ms)=0.2012023.11 | — | — | — | — | — | — | — | — | — | — | 16.2 | 72.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.82 | |
| DGD2025.06 | — | 13.98 | 42.43 | 3.83 | 9.68 | 2.9 | 14.79 | 0 | 4.09 | 2.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DUMRuntime (ms)=0.0552023.11 | — | — | — | — | — | — | — | — | — | — | 17.95 | 70.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.31 | |
| Endo-FMPretraining data=Private data, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EndoViTPretraining data=Merged public data, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FGRMRuntime (ms)=0.0522023.11 | — | — | — | — | — | — | — | — | — | — | 9.63 | 74.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | 5.87 | |
| GSViTPretraining data=GenSurgery, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LangSplatVLM Integration=None2025.06 | — | 64.87 | 57.91 | 4.5 | 23.84 | 4.13 | 25.63 | 5.97 | 43.38 | 4.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LangSplatVLM Integration=SurgVLP2025.06 | — | 65.03 | 57.14 | 4.31 | 32.79 | 5.61 | 4.1 | 5.97 | 42.97 | 4.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LangSplatVLM Integration=CAT-Seg2025.06 | — | 77.51 | 73.69 | 4.96 | 91.05 | 58.29 | 75.83 | 23.81 | 72.93 | 14.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Layer EnsembleRuntime (ms)=0.0722023.11 | — | — | — | — | — | — | — | — | — | — | 17.04 | 72.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.94 | |
| LDURuntime (ms)=0.0542023.11 | — | — | — | — | — | — | — | — | — | — | 14.42 | 73.13 | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.93 | |
| LemonFMPretraining data=LEMON, Evaluation Protocol=Frozen backbone, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 71.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LemonFMPretraining data=LEMON, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=50%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 78.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LemonFMPretraining data=LEMON, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 81.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LHURuntime (ms)=0.0542023.11 | — | — | — | — | — | — | — | — | — | — | 17.14 | 72.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.41 | |
| MAEPretraining data=LEMON, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 68.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MC-dropoutRuntime (ms)=0.5102023.11 | — | — | — | — | — | — | — | — | — | — | 17.27 | 72.42 | — | — | — | — | — | — | — | — | — | — | — | — | — | 3.31 | |
| NatPNRuntime (ms)=0.0522023.11 | — | — | — | — | — | — | — | — | — | — | 11.74 | 74.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | 4.79 | |
| OpenGaussianVLM Integration=None2025.06 | — | 2.64 | 0.08 | 0 | 0 | 0 | 0 | 8.05 | 0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OpenGaussianVLM Integration=SurgVLP2025.06 | — | 1.76 | 0 | 0 | 0 | 0 | 0.19 | 0 | 13.02 | 2.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OpenGaussianVLM Integration=CAT-Seg2025.06 | — | 2.21 | 1.9 | 12.79 | 14.89 | 12.82 | 1.26 | 7.49 | 0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Segmentation BackboneRuntime (ms)=0.0522023.11 | — | — | — | — | — | — | — | — | — | — | 19.46 | 71.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | 2.88 | |
| SurgeNetXLPretraining data=SurgeNetXL, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SurgTPGSVLM Integration=CLIP2025.06 | — | 64.96 | 57.52 | 4.69 | 15.94 | 4.1 | 26.59 | 5.34 | 23.55 | 7.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SurgTPGSVLM Integration=SurgVLP2025.06 | — | 65.07 | 57.04 | 6.01 | 32.99 | 5.91 | 8.03 | 6.14 | 42.94 | 4.56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SurgTPGSVLM Integration=CAT-Seg2025.06 | — | 89.82 | 79.06 | 65.78 | 97.24 | 68.83 | 74.84 | 73.29 | 92.12 | 55.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VideoMAEv2Pretraining data=LEMON, Evaluation Protocol=Full fine-tuning, Labeled Training Data Percentage=100%2025.03 | — | — | — | — | — | — | — | — | — | — | — | 65.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — |