Surgical Scene Understanding on Autolaparo
63.1Phase AccuracyPeskaVLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PeskaVLPPre-training Dataset=SVL (VL), %shot=100, Protocol=Linear Probing2024.09 | 63.1 | 49.7 | |
| MocoPre-training Dataset=SVL (V), %shot=100, Protocol=Linear Probing2024.09 | 59.5 | 48.4 | |
| CLIPPre-training Dataset=NA (L), %shot=100, Protocol=Linear Probing2024.09 | 58.5 | 46.1 | |
| ImageNetPre-training Dataset=ImageNet (V), %shot=100, Protocol=Linear Probing2024.09 | 57.5 | 44.9 | |
| HecVLPre-training Dataset=SVL (L), %shot=100, Protocol=Linear Probing2024.09 | 56.9 | 44.2 | |
| SurgVLPPre-training Dataset=SVL (L), %shot=100, Protocol=Linear Probing2024.09 | 54.3 | 41.8 | |
| CLIPPre-training Dataset=SVL (L), %shot=100, Protocol=Linear Probing2024.09 | 53.1 | 42.1 | |
| PeskaVLPPre-training Dataset=SVL (VL), %shot=10, Protocol=Linear Probing2024.09 | 53.1 | 36.8 | |
| MocoPre-training Dataset=Cholec80 (V), %shot=100, Protocol=Linear Probing2024.09 | 51.3 | 37.4 | |
| MocoPre-training Dataset=SVL (V), %shot=10, Protocol=Linear Probing2024.09 | 49.9 | 34.6 | |
| SurgVLPPre-training Dataset=SVL (L), %shot=10, Protocol=Linear Probing2024.09 | 48.5 | 32 | |
| HecVLPre-training Dataset=SVL (L), %shot=10, Protocol=Linear Probing2024.09 | 46.9 | 32.1 | |
| CLIPPre-training Dataset=NA (L), %shot=10, Protocol=Linear Probing2024.09 | 46.2 | 31.4 | |
| MocoPre-training Dataset=Cholec80 (V), %shot=10, Protocol=Linear Probing2024.09 | 45.4 | 31.7 | |
| CLIPPre-training Dataset=SVL (L), %shot=10, Protocol=Linear Probing2024.09 | 45.3 | 35.3 | |
| ImageNetPre-training Dataset=ImageNet (V), %shot=10, Protocol=Linear Probing2024.09 | 44.9 | 30.4 |