Class-Incremental Learning on ImageNet-A Uniformly Abrupt (Final average forgetting)
3.45Final Average ForgettingSPrompt
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SPromptScenario=Uniformly Abrupt, Backbone=ViT-B/16, Pre-trained=ImageNet-21k fine-tuned on ImageNet-1K2026.01 | 3.45 | 1 | 2.67 | |
| CODAPromptScenario=Uniformly Abrupt, Backbone=ViT-B/16, Pre-trained=ImageNet-21k fine-tuned on ImageNet-1K2026.01 | 4.73 | 2 | 3.17 | |
| PROTEUSScenario=Uniformly Abrupt, Backbone=ViT-B/16, Pre-trained=ImageNet-21k fine-tuned on ImageNet-1K, LoRA rank r=162026.01 | 5.35 | 3 | 2.17 | |
| L2PScenario=Uniformly Abrupt, Backbone=ViT-B/16, Pre-trained=ImageNet-21k fine-tuned on ImageNet-1K2026.01 | 6.29 | 4 | 5.67 | |
| RanPACScenario=Uniformly Abrupt, Backbone=ViT-B/16, Pre-trained=ImageNet-21k fine-tuned on ImageNet-1K2026.01 | 7.02 | 5 | 2.5 | |
| DualPromptScenario=Uniformly Abrupt, Backbone=ViT-B/16, Pre-trained=ImageNet-21k fine-tuned on ImageNet-1K2026.01 | 9.98 | 6 | 4.83 |