Image Classification on ImageNet-C (Performance and Resource Usage)
16.86GFLOPsT3A
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| T3AGradient-Free=true, Backbone=ViT-Base2025.10 | 16.86 | — | 718 | 0.124 | |
| ELaTTAGradient-Free=true, Backbone=ViT-Base2025.10 | 16.95 | — | 696 | 0.042 | |
| SURGEONGradient-Free=false, Backbone=ViT-Base2025.10 | 26.24 | — | 716 | 0.071 | |
| SARGradient-Free=false, Backbone=ViT-Base2025.10 | 33.73 | — | 2,996 | 0.037 | |
| CoTTAGradient-Free=false, Backbone=ViT-Base2025.10 | 50.59 | — | 1,130 | 0.703 | |
| BECoTTAGradient-Free=false, Backbone=ViT-Base2025.10 | 62.74 | — | 778 | 0.082 | |
| FOAGradient-Free=true, Backbone=ViT-Base2025.10 | 479.31 | — | 702 | 0.273 | |
| PASLEGradient-Free=false, Backbone=ViT-Base2025.10 | 607.13 | — | 2,588 | 0.051 | |
| MEMOGradient-Free=false, Backbone=ViT-Base2025.10 | 1,096.14 | — | 8,632 | 1.009 |