Continual Learning on ImageNet-R 10-task split
82.06FAAJoint-Train
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Joint-Train2025.09 | 82.06 | — | |
| SMoPE2025.09 | 79.32 | 84.39 | |
| VQ-Prompt2025.09 | 78.71 | 83.24 | |
| ConvPrompt2025.09 | 77.3 | 81.46 | |
| CPrompt2025.09 | 77.14 | 82.92 | |
| CODA-Prompt2025.09 | 75.45 | 81.59 | |
| OVOR2025.09 | 75.25 | 79.78 | |
| NoRGa2025.09 | 74.39 | 79.68 | |
| HiDe-Prompt2025.09 | 74.25 | 79.64 | |
| SMoPEPre-training=iBOT-1K2025.09 | 72.17 | 77.24 | |
| VQ-PromptPre-training=iBOT-1K2025.09 | 71.68 | 76.66 | |
| Deep L2P++depth=deep2025.09 | 71.66 | 79.63 | |
| DualPrompt2025.09 | 71.32 | 78.94 | |
| OVORPre-training=iBOT-1K2025.09 | 69.46 | 74.95 | |
| L2P++2025.09 | 69.29 | 78.3 | |
| SMoPEPre-training=DINO-1K2025.09 | 68.61 | 75.14 | |
| VQ-PromptPre-training=DINO-1K2025.09 | 68.42 | 74.43 | |
| CODA-PromptPre-training=iBOT-1K2025.09 | 66.56 | 73.14 | |
| OVORPre-training=DINO-1K2025.09 | 66.55 | 72.89 | |
| NoRGaPre-training=iBOT-1K2025.09 | 65.81 | 72.11 | |
| HiDe-PromptPre-training=iBOT-1K2025.09 | 65.34 | 71.67 | |
| CODA-PromptPre-training=DINO-1K2025.09 | 63.15 | 69.73 | |
| NoRGaPre-training=DINO-1K2025.09 | 63.02 | 70.25 | |
| HiDe-PromptPre-training=DINO-1K2025.09 | 62.94 | 70.04 | |
| DualPromptPre-training=iBOT-1K2025.09 | 61.51 | 67.11 | |
| DualPromptPre-training=DINO-1K2025.09 | 58.57 | 64.89 |