Few-shot Classification on OxfordPets 16-shot (test)
88.5Accuracy (Sym 0.125)NA-MVP
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| NA-MVPImage Encoder=ResNet-50, Text Encoder=63M-parameter Transformer, Training Shots=16, Training Epochs=502026.03 | 88.5 | 88.4 | 88.23 | 88.13 | 86.93 | 86.23 | 87.53 | 79.33 | |
| NLPromptImage Encoder=ResNet-50, Text Encoder=63M-parameter Transformer, Training Shots=16, Training Epochs=502026.03 | 86.17 | 86 | 85.33 | 83.17 | 80.03 | 70.77 | 84.97 | 77.53 | |
| GCEImage Encoder=ResNet-50, Text Encoder=63M-parameter Transformer, Training Shots=16, Training Epochs=502026.03 | 85.63 | 84.6 | 83.67 | 79.23 | 71.4 | 53.17 | 83.03 | 68.07 | |
| JoAPRImage Encoder=ResNet-50, Text Encoder=63M-parameter Transformer, Training Shots=16, Training Epochs=502026.03 | 83.17 | 82.05 | 80.62 | 79.05 | 73.72 | 60.97 | 76.82 | 62.85 | |
| CoOpImage Encoder=ResNet-50, Text Encoder=63M-parameter Transformer, Training Shots=16, Training Epochs=502026.03 | 76.5 | 66.73 | 60.33 | 47.03 | 35.77 | 24.6 | 66.2 | 38.73 |