Affordance Segmentation on UMD
87.5Fw-beta ScoreBayesian Visual Transformers (Bayesian)
Evaluation results
| Method | Links | |
|---|---|---|
| Bayesian Visual Transformers (Bayesian)Backbone=Swin-T2026.05 | 87.5 | |
| BPNBackbone=R502026.05 | 86.21 | |
| Bayesian Visual Transformers (Deterministic)Backbone=Swin-T2026.05 | 86.03 | |
| GSEBackbone=R1012026.05 | 85.5 | |
| Mask-RCNNBackbone=R502026.05 | 84.21 | |
| M2F-AFFBackbone=R502026.05 | 79.93 | |
| AffordanceNetBackbone=VGG2026.05 | 79.9 |