Image Classification on ImageNet Source 1K (test)
76.5AccuracyMIST
Evaluation results
| Method | Links | |
|---|---|---|
| MISTBackbone=ViT-B/16, Evaluation Protocol=fine-tuned, Shot count=16-shot2024.06 | 76.5 | |
| NOAHBackbone=ViT-B/16, Evaluation Protocol=fine-tuned, Shot count=16-shot2024.06 | 71.5 | |
| LoRABackbone=ViT-B/16, Evaluation Protocol=fine-tuned, Shot count=16-shot2024.06 | 70.8 | |
| AdapterBackbone=ViT-B/16, Evaluation Protocol=fine-tuned, Shot count=16-shot2024.06 | 70.5 | |
| VPTBackbone=ViT-B/16, Evaluation Protocol=fine-tuned, Shot count=16-shot2024.06 | 70.5 | |
| GLAShots=16, Backbone=ResNet-502023.10 | 65.6 | |
| ProGradShots=16, Backbone=ResNet-502023.10 | 63.5 | |
| PLOTShots=16, Backbone=ResNet-502023.10 | 63 | |
| CoOpShots=16, Backbone=ResNet-502023.10 | 61.9 | |
| CLIPShots=0, Backbone=ResNet-50, Mode=Zero-shot2023.10 | 59.8 |