Image Classification on Caltech-101 (Top-1 Accuracy)
84.6Top-1 AccuracyITO
Evaluation Results
| Method | Links | |
|---|---|---|
| ITOBackbone=ViT-L/16, Pre-training Dataset=DataComp-1B, Training Epochs=1, Evaluation Protocol=Zero-shot2026.03 | 84.6 | |
| ITO sub2Backbone=ViT-L/16, Pre-training Dataset=DataComp-1B, Training Epochs=1, Evaluation Protocol=Zero-shot2026.03 | 83.4 | |
| CLIPBackbone=ViT-L/16, Pre-training Dataset=DataComp-1B, Training Epochs=1, Evaluation Protocol=Zero-shot2026.03 | 83.2 | |
| ITOPre-training Dataset=CC12M, Backbone=ViT-B/16, Epochs=30, Evaluation protocol=Zero-shot2026.03 | 79.1 | |
| ITO sub2Pre-training Dataset=CC12M, Backbone=ViT-B/16, Epochs=30, Evaluation protocol=Zero-shot2026.03 | 77.4 | |
| GIFBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 76.11 | |
| Diff-MixBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 75.8 | |
| FLAIRPre-training Dataset=CC12M, Backbone=ViT-B/16, Epochs=30, Evaluation protocol=Zero-shot2026.03 | 75.4 | |
| SLIPPre-training Dataset=CC12M, Backbone=ViT-B/16, Epochs=30, Evaluation protocol=Zero-shot2026.03 | 74.9 | |
| Diff-AugBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 72.35 | |
| CLIPPre-training Dataset=CC12M, Backbone=ViT-B/16, Epochs=30, Evaluation protocol=Zero-shot2026.03 | 72 | |
| SigLIPPre-training Dataset=CC12M, Backbone=ViT-B/16, Epochs=30, Evaluation protocol=Zero-shot2026.03 | 71.4 | |
| DA-FusionBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 67.65 | |
| Real GuidanceBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 67.2 | |
| ITO sub2Pre-train dataset=CC3M, Backbone=ViT-B/16, Training Epochs=30, Evaluation Protocol=Zero-shot2026.03 | 66.1 | |
| ITOPre-train dataset=CC3M, Backbone=ViT-B/16, Training Epochs=30, Evaluation Protocol=Zero-shot2026.03 | 62.9 | |
| DiffuseMixBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 62.74 | |
| FLAIRPre-train dataset=CC3M, Backbone=ViT-B/16, Training Epochs=30, Evaluation Protocol=Zero-shot2026.03 | 61.6 | |
| SLIPPre-train dataset=CC3M, Backbone=ViT-B/16, Training Epochs=30, Evaluation Protocol=Zero-shot2026.03 | 56.6 | |
| MixupBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 51.75 | |
| BaselineBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 49.95 | |
| CLIPPre-train dataset=CC3M, Backbone=ViT-B/16, Training Epochs=30, Evaluation Protocol=Zero-shot2026.03 | 49.8 | |
| CutMixBackbone=ResNet-50, Training Protocol=Trained from scratch2026.03 | 47.65 | |
| SigLIPPre-train dataset=CC3M, Backbone=ViT-B/16, Training Epochs=30, Evaluation Protocol=Zero-shot2026.03 | 46.2 |