Semantic Segmentation on PASCAL-5^2 5i (cross-dataset)
62.7mIoUSAZS
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SAZSBackbone=DRN, external dataset=COCO, target dataset=None2023.04 | 62.7 | — | — | — | — | |
| OpenSegBackbone=ResNet, external dataset=COCO, target dataset=None2023.04 | 60 | — | — | — | — | |
| LSeg+Backbone=ResNet, external dataset=COCO, target dataset=None2023.04 | 59 | — | — | — | — | |
| LSegBackbone=ViT-L, external dataset=None, target dataset=seen classes2023.04 | 52.3 | — | — | — | — | |
| LSegBackbone=ResNet, external dataset=None, target dataset=seen classes2023.04 | 47.4 | — | — | — | — | |
| MULTI-VQGANK=16, Training Dataset=COCO-5i2026.01 | 42.39 | 42.38 | 47.73 | 41.86 | 37.6 | |
| MULTI-VQGANK=8, Training Dataset=COCO-5i2026.01 | 41.87 | 41.4 | 45.78 | 42.98 | 37.31 | |
| CONDENSERK=16, Training Dataset=COCO-5i2026.01 | 40.52 | 40.37 | 44.85 | 41.03 | 35.84 | |
| CONDENSERK=8, Training Dataset=COCO-5i2026.01 | 40.26 | 40.5 | 43.59 | 40.95 | 36.01 | |
| InMeMoTraining Dataset=COCO-5i2026.01 | 40.03 | 38.74 | 43.82 | 40.45 | 37.12 | |
| Prompt-SelFTraining Dataset=COCO-5i2026.01 | 39.66 | 40.13 | 42.14 | 37.84 | 38.52 | |
| ZS3NetBackbone=ResNet, external dataset=None, target dataset=seen classes2023.04 | 38.3 | — | — | — | — | |
| SPNetBackbone=ResNet, external dataset=None, target dataset=seen classes2023.04 | 18.3 | — | — | — | — |