Image Classification on Food-101 (val)
92.6AccuracySigLIxP
Evaluation results
| Method | Links | |
|---|---|---|
| SigLIxPTrain-free=true, Shots=16, Backbone=ViT-B/162024.11 | 92.6 | |
| StelLAModel=ViT Large, Params (%)=0.542025.10 | 91.33 | |
| LoRAModel=ViT Large, Params (%)=0.532025.10 | 91.3 | |
| DoRAModel=ViT Large, Params (%)=0.552025.10 | 91.27 | |
| PiSSAModel=ViT Large, Params (%)=0.532025.10 | 91.1 | |
| StelLAModel=ViT Base, Params (%)=0.732025.10 | 90.17 | |
| DoRAModel=ViT Base, Params (%)=0.752025.10 | 90.15 | |
| LoRAModel=ViT Base, Params (%)=0.722025.10 | 90.07 | |
| PiSSAModel=ViT Base, Params (%)=0.722025.10 | 89.99 | |
| CasPLTrain-free=false, Shots=16, Backbone=ViT-B/162024.11 | 88.4 | |
| PromptSRCTrain-free=false, Shots=16, Backbone=ViT-B/162024.11 | 87.5 | |
| DMNTrain-free=false, Shots=16, Backbone=ViT-B/162024.11 | 87.1 | |
| DMN-TFTrain-free=true, Shots=16, Backbone=ViT-B/162024.11 | 86 | |
| Zero-Shot baselineEvaluation Protocol=Zero-Shot, Label Distribution Estimation=None2024.04 | 85.6 | |
| MaPLeTrain-free=false, Shots=16, Backbone=ViT-B/162024.11 | 85.3 | |
| Linear ProbeTrain-free=false, Shots=16, Backbone=ViT-B/162024.11 | 82.9 | |
| OTTEREvaluation Protocol=Zero-Shot, Label Distribution Estimation=BBSE+OT2024.04 | 82.3 | |
| OTTEREvaluation Protocol=Linear Probing, Label Distribution Estimation=BBSE+OT2024.04 | 79.8 | |
| Linear Probing baselineEvaluation Protocol=Linear Probing, Label Distribution Estimation=None2024.04 | 79.1 | |
| ITO_sub3Pre-training Dataset=CC3M-recap, Backbone=ViT-B/16, Evaluation Protocol=Linear Probing2026.03 | 64.7 | |
| ITO_sub2Pre-training Dataset=CC3M-recap, Backbone=ViT-B/16, Evaluation Protocol=Linear Probing2026.03 | 64.15 | |
| BBSE+PMEvaluation Protocol=Linear Probing, Label Distribution Estimation=BBSE+PM2024.04 | 60.6 | |
| FLAIRPre-training Dataset=CC3M-recap, Backbone=ViT-B/16, Evaluation Protocol=Linear Probing2026.03 | 59.38 | |
| BBSE+PMEvaluation Protocol=Zero-Shot, Label Distribution Estimation=BBSE+PM2024.04 | 15.3 |