Image Classification on FMoW WILDS (test)
46.4WC AccuracyVDPG
Evaluation results
| Method | Links | ||
|---|---|---|---|
| VDPGBackbone=ViT-L/14 CLIP2024.05 | 46.4 | 61.9 | |
| FLYPBackbone=ViT-L/14 CLIP, Ensemble=false2024.05 | 46 | 63.3 | |
| MABNBackbone=CNNs2024.05 | 36.6 | 53.2 | |
| Meta-DMoEBackbone=CNNs2024.05 | 35.4 | 52.5 | |
| ERMBackbone=CNNs2024.05 | 32.3 | 53 | |
| CORALBackbone=CNNs2024.05 | 31.7 | 50.5 | |
| IRMBackbone=CNNs2024.05 | 30 | 50.8 | |
| ARM-CMLBackbone=CNNs2024.05 | 27.2 | 45.7 | |
| ARM-BNBackbone=CNNs2024.05 | 24.6 | 42 | |
| Zero-shot (ZS)Backbone=ViT-L/14 CLIP2024.05 | 13.3 | 21.1 |