Image Classification on DomainNet Real (ID)
73.16AccuracyTPGM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TPGMPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 73.16 | 27.56 | |
| PFPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 71.04 | 23.86 | |
| LP-FTPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 64.11 | 11.78 | |
| L2-SPPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 61.41 | 7.08 | |
| Vanilla FTPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 57.35 | 0 | |
| MARS-SPPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 52.53 | -8.41 | |
| LPPre-trained backbone=CLIP ResNet50, Training data percentage=10%2023.03 | 47.19 | -17.71 |