Image Classification on MSRSI
95.45AccuracyProposed
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ProposedTotal parameters=495.5 M, Trainable Parameters=8.1 M, Training Epoch=802026.03 | 95.45 | 95.49 | 95.45 | 95.45 | 97.97 | 4.18 | 95.13 | |
| Swin TransformerTotal parameters=195.95 M, Trainable Parameters=0.95 M, Training Epoch=1002026.03 | 88.1 | — | — | — | — | — | — | |
| ViT BaseTotal parameters=86.36 M, Trainable Parameters=0.95 M, Training Epoch=1002026.03 | 86.55 | — | — | — | — | — | — | |
| DeiTTotal parameters=86.65 M, Trainable Parameters=0.56 M, Training Epoch=1002026.03 | 84.15 | — | — | — | — | — | — | |
| XceptionTotal parameters=22.62 M, Trainable Parameters=0.57 M, Training Epoch=1002026.03 | 82.13 | — | — | — | — | — | — | |
| Inception-ResnetV2Total parameters=54.9 M, Trainable Parameters=0.56 M, Training Epoch=1002026.03 | 80.71 | — | — | — | — | — | — | |
| XCiTTotal parameters=84 M, Trainable Parameters=0.56 M, Training Epoch=1002026.03 | 71.81 | — | — | — | — | — | — | |
| CLIP - ViT-L/14Total parameters=891 M, Trainable Parameters=0, Training Epoch=02026.03 | 68.48 | — | — | — | — | — | — | |
| SigLIPTotal parameters=400 M, Trainable Parameters=0, Training Epoch=02026.03 | 62.21 | — | — | — | — | — | — | |
| P2FEViTTotal parameters=5.63 M, Trainable Parameters=1.58 M, Training Epoch=1002026.03 | 59.37 | — | — | — | — | — | — | |
| CLIP - ResNet50Total parameters=244 M, Trainable Parameters=0, Training Epoch=02026.03 | 34.46 | — | — | — | — | — | — |