Image Classification on Oxford-IIIT Pets (val)
96.1Top-1 AccOMNIVORE (Swin-L)
Evaluation results
| Method | Links | |
|---|---|---|
| OMNIVORE (Swin-L)Backbone=Swin-L, Resolution=384x3842022.01 | 96.1 | |
| OMNIVORE (Swin-B)Backbone=Swin-B, Resolution=384x3842022.01 | 95.9 | |
| OMNIVORE (Swin-L)Backbone=Swin-L, Resolution=224x2242022.01 | 95.7 | |
| OMNIVORE (Swin-B)Backbone=Swin-B, Resolution=224x2242022.01 | 95.5 | |
| EfficientNet B6Backbone=EfficientNet B62022.01 | 95.4 | |
| ViT-B + DenoiseRepParam=87M, Configuration=+DenoiseRep2024.06 | 94.58 | |
| ViT-BParam=87M, Configuration=Baseline2024.06 | 94.37 | |
| Zero-Shot baselineEvaluation Protocol=Zero-Shot, Label Distribution Estimation=None2024.04 | 83.8 | |
| Linear Probing baselineEvaluation Protocol=Linear Probing, Label Distribution Estimation=None2024.04 | 75.7 | |
| OTTEREvaluation Protocol=Linear Probing, Label Distribution Estimation=BBSE+OT2024.04 | 75.6 | |
| BBSE+PMEvaluation Protocol=Linear Probing, Label Distribution Estimation=BBSE+PM2024.04 | 72 | |
| OTTEREvaluation Protocol=Zero-Shot, Label Distribution Estimation=BBSE+OT2024.04 | 71.4 | |
| BBSE+PMEvaluation Protocol=Zero-Shot, Label Distribution Estimation=BBSE+PM2024.04 | 43.3 |