Image Classification on Transfer Learning Suite
74.4Top-1 AccuracylbGen
Evaluation Results
| Method | Links | |
|---|---|---|
| lbGenBackbone=ViT-S, Pre-Trained Data=IN-lbGen, Evaluation Protocol=Linear Probing2024.12 | 74.4 | |
| lbGenBackbone=ResNet50, Pre-Trained Data=IN-lbGen, Evaluation Protocol=Linear Probing2024.12 | 73.2 | |
| IN-RealBackbone=ViT-S, Pre-Trained Data=IN-Real, Evaluation Protocol=Linear Probing2024.12 | 72.3 | |
| IN-RealFakeBackbone=ResNet50, Pre-Trained Data=IN-RealFake, Evaluation Protocol=Linear Probing2024.12 | 71.8 | |
| IN-RealBackbone=ResNet50, Pre-Trained Data=IN-Real, Evaluation Protocol=Linear Probing2024.12 | 71.5 | |
| IN-RealFakeBackbone=ViT-S, Pre-Trained Data=IN-RealFake, Evaluation Protocol=Linear Probing2024.12 | 70.8 | |
| IN-SD1.5Backbone=ViT-S, Pre-Trained Data=IN-SD1.5, Evaluation Protocol=Linear Probing2024.12 | 69.9 | |
| IN-SD1.5Backbone=ResNet50, Pre-Trained Data=IN-SD1.5, Evaluation Protocol=Linear Probing2024.12 | 67.3 | |
| IN-GenRobustBackbone=ViT-S, Pre-Trained Data=IN-GenRobust, Evaluation Protocol=Linear Probing2024.12 | 66.3 | |
| IN-GenRobustBackbone=ResNet50, Pre-Trained Data=IN-GenRobust, Evaluation Protocol=Linear Probing2024.12 | 64.5 |