Semantic Segmentation on FSS-1000 1.0 (test)
90.8mIoUVAT
Evaluation results
| Method | Links | |
|---|---|---|
| VATshot=few-shot, category=specialist model, venue=ECCV'22, in-domain training=true2023.05 | 90.8 | |
| VATshot=1-shot, category=specialist model, venue=ECCV'22, in-domain training=true2023.05 | 90.3 | |
| Matchershot=few-shot, category=generalist model, venue=this work, in-domain training=false2023.05 | 89.6 | |
| SegGPTshot=few-shot, category=generalist model, venue=ICCV'23, in-domain training=false2023.05 | 89.3 | |
| HSNetshot=few-shot, category=specialist model, venue=ICCV'21, in-domain training=true2023.05 | 88.5 | |
| Matchershot=1-shot, category=generalist model, venue=this work, in-domain training=false2023.05 | 87 | |
| HSNetshot=1-shot, category=specialist model, venue=ICCV'21, in-domain training=true2023.05 | 86.5 | |
| SegGPTshot=1-shot, category=generalist model, venue=ICCV'23, in-domain training=false2023.05 | 85.6 | |
| PerSAM-Fshot=1-shot, category=generalist model, venue=arXiv'23, in-domain training=false, training-free=true2023.05 | 75.6 | |
| PerSAMshot=1-shot, category=generalist model, venue=arXiv'23, in-domain training=false, using SAM=true2023.05 | 71.2 | |
| Paintershot=few-shot, category=generalist model, venue=CVPR'23, in-domain training=false2023.05 | 62.3 | |
| Paintershot=1-shot, category=generalist model, venue=CVPR'23, in-domain training=false2023.05 | 61.7 |