Image Classification on ImageNet (Source) to 10 Target Datasets (16-shot train)
76.9ImageNet Source AccuracyTransCLIP-ZS
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TransCLIP-ZSBase Method=PromptSRC, Training=16-shot on ImageNet, Inference=Transductive2024.06 | 76.9 | 69.9 | 24.9 | 59.4 | 67.6 | 85.3 | 89.4 | 76.7 | 94.2 | 51.1 | 76 | 69.4 | |
| TransCLIP-ZSBase Method=CoCoOp, Training=16-shot on ImageNet, Inference=Transductive2024.06 | 76.8 | 69.6 | 22.6 | 59.2 | 67 | 85.4 | 89.8 | 79 | 94.3 | 50.6 | 74.5 | 69.2 | |
| TransCLIP-ZSBase Method=MaPLE, Training=16-shot on ImageNet, Inference=Transductive2024.06 | 76.6 | 69.8 | 24.5 | 59.5 | 66.8 | 85.4 | 89.7 | 78 | 94.3 | 49.4 | 74.4 | 69.2 | |
| TransCLIP-ZSBase Method=ProGrad, Training=16-shot on ImageNet, Inference=Transductive2024.06 | 73.5 | 68.6 | 22.7 | 55.2 | 67.9 | 87 | 91.3 | 73.9 | 94 | 46.6 | 73.5 | 68.1 | |
| TransCLIP-ZSBase Method=CoOp, Training=16-shot on ImageNet, Inference=Transductive2024.06 | 73.3 | 67.4 | 17.1 | 54.5 | 66.8 | 86.3 | 89.4 | 74.2 | 93.4 | 42.1 | 69.9 | 66.1 | |
| ProGradTraining=16-shot on ImageNet, Inference=Inductive2024.06 | 72.1 | 63.9 | 21.6 | 38.9 | 64 | 85.9 | 90.2 | 67.8 | 92.9 | 43.2 | 65.9 | 63.4 | |
| CoOpTraining=16-shot on ImageNet, Inference=Inductive2024.06 | 71.9 | 62 | 15.7 | 44.6 | 62.1 | 84.3 | 88.3 | 67.1 | 92.7 | 39.5 | 64.1 | 62 | |
| PromptSRCTraining=16-shot on ImageNet, Inference=Inductive2024.06 | 71.4 | 67.3 | 24.1 | 45 | 65.6 | 86.5 | 90.1 | 70.5 | 93.8 | 46.2 | 68.9 | 65.8 | |
| CoCoOpTraining=16-shot on ImageNet, Inference=Inductive2024.06 | 71.1 | 67 | 22.7 | 44.6 | 64.9 | 86.2 | 90.7 | 71.6 | 93.9 | 45.2 | 68.8 | 65.6 | |
| MaPLETraining=16-shot on ImageNet, Inference=Inductive2024.06 | 70.5 | 67.3 | 24.4 | 45.8 | 65.7 | 86.4 | 90.4 | 72 | 93.7 | 46.3 | 68.7 | 66.1 |