Continual Learning on ImageNet-R 10 tasks 1.0 (test)
71.84ACC10InfLoRA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| InfLoRAPre-trained model=iBOT-1k2024.03 | 71.84 | 78.29 | |
| InfLoRA-b5Pre-trained model=iBOT-1k2024.03 | 69.72 | 76.11 | |
| C-LoRAPre-trained model=iBOT-1k2024.03 | 68.6 | 73.47 | |
| InfLoRAPre-trained model=DINO-1k2024.03 | 68.31 | 76.15 | |
| CODA-PPre-trained model=iBOT-1k2024.03 | 68.02 | 74.28 | |
| InfLoRA-b5Pre-trained model=DINO-1k2024.03 | 66.16 | 73.01 | |
| LAEPre-trained model=iBOT-1k2024.03 | 64.14 | 72.59 | |
| CODA-PPre-trained model=DINO-1k2024.03 | 64.02 | 71.5 | |
| DualPromptPre-trained model=iBOT-1k2024.03 | 63.78 | 68.88 | |
| C-LoRAPre-trained model=DINO-1k2024.03 | 63.07 | 68.09 | |
| LAEPre-trained model=DINO-1k2024.03 | 61.03 | 69.89 | |
| L2PPre-trained model=iBOT-1k2024.03 | 60.8 | 66.58 | |
| DualPromptPre-trained model=DINO-1k2024.03 | 60.23 | 66.57 | |
| L2PPre-trained model=DINO-1k2024.03 | 56.71 | 63.59 |