Class-Incremental Learning on CIFAR
89.6AccuracyRanPAC
Evaluation Results
| Method | Links | |
|---|---|---|
| RanPACBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 89.6 | |
| RanPAC-impBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 89.4 | |
| RanPACBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 88.2 | |
| RanPAC-impBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 87.8 | |
| FosterBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 87.3 | |
| SLCABackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 86.8 | |
| RanDumbBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 86.8 | |
| SLCABackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 86.3 | |
| RanDumbBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 84.5 | |
| NCMBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 83.5 | |
| Adam-SSFBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 82.7 | |
| Adam-AdaptBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 82.4 | |
| Adam-VPTBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 79.3 | |
| NCMBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 78.3 | |
| Adam-AdaptBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 76.7 | |
| Adam-SSFBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 76 | |
| Adam-FTBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 72.6 | |
| iCARLBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 72.4 | |
| iCARLBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 71.6 | |
| Adam-VPTBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 70.8 | |
| MemoBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 69.8 | |
| Adam-FTBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 65.7 | |
| FosterBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 52.2 | |
| FinetuneBackbone=ViT-B/16, Pre-training=ImageNet-21K, Task Setting=2 init classes, 1 class per task2024.02 | 2.8 | |
| CODA-PromptBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 2.6 | |
| L2PBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 2.4 | |
| DualPromptBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 2.3 | |
| FinetuneBackbone=ViT-B/16, Pre-training=ImageNet-1K, Task Setting=2 init classes, 1 class per task2024.02 | 1 |