Image Classification on DomainNet (Source Real Test)
84.22Accuracy (Real)FTP
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| FTPBackbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=0.682023.10 | 84.22 | 37.66 | 46.11 | 28.33 | 47.67 | 39.94 | 4.05 | 16.87 | |
| TPGMPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=Task-Priority Gradient Modifiers2023.03 | 83.64 | 38.78 | 43.11 | 28.7 | 48.01 | 39.65 | 3.34 | 16.01 | |
| TPGMBackbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=1.072023.10 | 83.64 | 38.78 | 43.11 | 28.7 | 48.01 | 39.65 | 3.34 | 16.01 | |
| L2-SPPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=L2 Regularization toward Starting Point2023.03 | 82.07 | 36.67 | 45.62 | 22.97 | 47.78 | 38.26 | 1.4 | 11.94 | |
| L2-SPBackbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=0.622023.10 | 82.07 | 36.67 | 45.62 | 22.97 | 47.78 | 38.26 | 1.4 | 11.94 | |
| Vanilla FTPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=Fine-Tuning2023.03 | 80.93 | 31.81 | 41.02 | 20.29 | 43.59 | 34.18 | 0 | 0 | |
| Vanilla FTBackbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=0.582023.10 | 80.93 | 31.81 | 41.02 | 20.29 | 43.59 | 34.18 | 0 | 0 | |
| LP-FTPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=Linear Probing then Fine-Tuning2023.03 | 80.82 | 34.85 | 44.03 | 22.23 | 46.13 | 36.81 | -0.14 | 7.69 | |
| LP-FTBackbone=CLIP pre-trained ResNet50, Training Data=100% Real2023.10 | 80.82 | 34.85 | 44.03 | 22.23 | 46.13 | 36.81 | -0.14 | 7.69 | |
| PFPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=Partial Fine-tuning2023.03 | 78.27 | 36.77 | 42.13 | 24.71 | 43.31 | 36.73 | -3.29 | 7.46 | |
| Partial FusionBackbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=0.332023.10 | 78.27 | 36.77 | 42.13 | 24.71 | 43.31 | 36.73 | -3.29 | 7.46 | |
| MARS-SPPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=MARS-SP2023.03 | 77.19 | 25.33 | 33.43 | 14.81 | 39.2 | 28.19 | -4.62 | -17.53 | |
| MARS-SPBackbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=0.612023.10 | 77.19 | 25.33 | 33.43 | 14.81 | 39.2 | 28.19 | -4.62 | -17.53 | |
| LPPre-trained=CLIP, Backbone=ResNet-50, Data Scale=100%, Protocol=Linear Probing2023.03 | 52.56 | 20.05 | 24.92 | 19.18 | 21.15 | 21.33 | -35.05 | -37.6 | |
| Linear Prob.Backbone=CLIP pre-trained ResNet50, Training Data=100% Real, Time (s/it)=0.142023.10 | 52.56 | 20.05 | 24.92 | 19.18 | 21.15 | 21.33 | -35.05 | -37.6 |