Classification on ImageNet 1k (val)
83.8Top-1 AccOmnivorous ViT-B/14
Evaluation Results
| Method | Links | |
|---|---|---|
| Omnivorous ViT-B/14feature type=tok & gap, evaluation protocol=linear probe2026.02 | 83.8 | |
| Omnivorous ViT-B/14feature type=tok, evaluation protocol=linear probe2026.02 | 83.5 | |
| SwinT + DenoiseRepModel=SwinT, Backbone=SwinV2-T2024.06 | 82.13 | |
| SwinTModel=SwinT, Backbone=SwinV2-T2024.06 | 81.82 | |
| DINOv2 ViT-B/14feature type=tok & gap, evaluation protocol=linear probe2026.02 | 80.4 | |
| DINOv2 ViT-B/14feature type=tok, evaluation protocol=linear probe2026.02 | 80.1 | |
| Truncated TripletPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 75.9 | |
| NNCLRPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 75.4 | |
| MoCov3Pre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 74.6 | |
| BYOLPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 74.3 | |
| SCEPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 74.1 | |
| Truncated TripletPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.11 | 73.8 | |
| SCEPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.11 | 73.3 | |
| Barlow-TwinsPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 73.2 | |
| VICRegPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 73.2 | |
| AdCoPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 72.8 | |
| MoCov3Pre-training Epochs=300, Evaluation Protocol=linear evaluation2021.11 | 72.8 | |
| SCEPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 72.7 | |
| BYOLPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.11 | 72.5 | |
| MoCov2Pre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 72.2 | |
| WCLPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 72.2 | |
| SCEPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 72.1 | |
| SwaVPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 71.8 | |
| Barlow-TwinsPre-training Epochs=300, Evaluation Protocol=linear evaluation2021.11 | 71.4 | |
| ReSSLPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 71.4 | |
| NNCLRPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 70.7 | |
| BYOLPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 70.6 | |
| SimCLRPre-training Epochs=800-1000, Evaluation Protocol=linear evaluation2021.11 | 70.4 | |
| WCLPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 70.3 | |
| UniGradPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 70.3 | |
| MoCov2Pre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 69.9 | |
| NNCLRPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 69.4 | |
| SwaVPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 69.1 | |
| MoCov3Pre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 68.9 | |
| AdCoPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 68.6 | |
| SimCLRPre-training Epochs=200, Evaluation Protocol=linear evaluation2021.11 | 68.3 | |
| WCLPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 68.1 | |
| MoCov2Pre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 67.4 | |
| SimCLRPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 66.5 | |
| SwaVPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 66.5 | |
| BYOLPre-training Epochs=100, Evaluation Protocol=linear evaluation2021.11 | 66.5 |