Object Classification on ImageNet
75.9AccuracyDINO-ResNet
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DINO-ResNetTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | 75.9 | — | — | — | |
| SimCLR-ResNetTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | 75.2 | — | — | — | |
| DINO-ResNetTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | 74.9 | — | — | — | |
| SimCLR-ResNetTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | 74.6 | — | — | — | |
| SimCLR-ResNetTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | 72.4 | — | — | — | |
| DINO-ViTTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | 68 | — | — | — | |
| DINO-ViTTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | 66.1 | — | — | — | |
| DINO-ResNetTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | 65.6 | — | — | — | |
| SimCLR-ViTTraining Schedule=CombDiet, Evaluation Protocol=Linear Probing2025.11 | 63.7 | — | — | — | |
| SimCLR-ViTTraining Schedule=STD, Evaluation Protocol=Linear Probing2025.11 | 63.2 | — | — | — | |
| DINO-ViTTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | 62.6 | — | — | — | |
| SimCLR-ViTTraining Schedule=SHF, Evaluation Protocol=Linear Probing2025.11 | 62 | — | — | — | |
| CLIPBackbone=ViT-B/162023.12 | — | 72.43 | 68.14 | 70.22 | |
| CoCoOpBackbone=ViT-B/162023.12 | — | 75.98 | 70.43 | 73.1 | |
| HPTBackbone=ViT-B/162023.12 | — | 77.95 | 70.74 | 74.17 | |
| MaPLeBackbone=ViT-B/162023.12 | — | 76.66 | 70.54 | 73.47 |