Affordance Segmentation on IIT-Aff
90.6Fw-beta ScoreBayesian Visual Transformer
Evaluation results
| Method | Links | |
|---|---|---|
| Bayesian Visual TransformerBackbone=Swin-T, Variant=Bayesian2026.05 | 90.6 | |
| Deterministic Visual TransformerBackbone=Swin-T, Variant=Deterministic2026.05 | 88.32 | |
| Bayesian Visual TransformerBackbone=R50, Variant=Bayesian2026.05 | 86.9 | |
| Mask-RCNNBackbone=R502026.05 | 84.4 | |
| GSEBackbone=R1012026.05 | 82.33 | |
| AffordanceNetBackbone=VGG2026.05 | 79.9 | |
| BPNBackbone=R502026.05 | 79.64 | |
| R-FCNBackbone=R1012026.05 | 69.62 | |
| ED-RGBBackbone=VGG2026.05 | 57.64 |