Surgical Scene Understanding on BernBypass70
71.5Phase AccuracyPeskaVLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PeskaVLPPre-training Dataset=SVL (VL), %shot=100, Protocol=Linear Probing2024.09 | 71.5 | 37.4 | |
| HecVLPre-training Dataset=SVL (L), %shot=100, Protocol=Linear Probing2024.09 | 70 | 34.4 | |
| MocoPre-training Dataset=SVL (V), %shot=100, Protocol=Linear Probing2024.09 | 69.6 | 36.5 | |
| CLIPPre-training Dataset=SVL (L), %shot=100, Protocol=Linear Probing2024.09 | 68.2 | 35.2 | |
| SurgVLPPre-training Dataset=SVL (L), %shot=100, Protocol=Linear Probing2024.09 | 66.5 | 34.3 | |
| MocoPre-training Dataset=Cholec80 (V), %shot=100, Protocol=Linear Probing2024.09 | 66 | 33.1 | |
| ImageNetPre-training Dataset=ImageNet (V), %shot=100, Protocol=Linear Probing2024.09 | 64.7 | 31.6 | |
| CLIPPre-training Dataset=NA (L), %shot=100, Protocol=Linear Probing2024.09 | 64.1 | 33.3 | |
| PeskaVLPPre-training Dataset=SVL (VL), %shot=10, Protocol=Linear Probing2024.09 | 62.9 | 32.7 | |
| HecVLPre-training Dataset=SVL (L), %shot=10, Protocol=Linear Probing2024.09 | 59.3 | 31.2 | |
| MocoPre-training Dataset=SVL (V), %shot=10, Protocol=Linear Probing2024.09 | 59.1 | 29.9 | |
| SurgVLPPre-training Dataset=SVL (L), %shot=10, Protocol=Linear Probing2024.09 | 57.7 | 28.5 | |
| CLIPPre-training Dataset=SVL (L), %shot=10, Protocol=Linear Probing2024.09 | 56.5 | 29.8 | |
| ImageNetPre-training Dataset=ImageNet (V), %shot=10, Protocol=Linear Probing2024.09 | 53.3 | 25.6 | |
| CLIPPre-training Dataset=NA (L), %shot=10, Protocol=Linear Probing2024.09 | 52.8 | 27.9 | |
| MocoPre-training Dataset=Cholec80 (V), %shot=10, Protocol=Linear Probing2024.09 | 52.7 | 25.7 |