Class-Incremental Learning on Stanford-Cars 20 tasks
66.9AccuracyTRM
Evaluation results
| Method | Links | |
|---|---|---|
| TRMBackbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 66.9 | |
| MagMaxYear=2024, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 65.7 | |
| TIESYear=2023, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 65.3 | |
| DualPromptYear=2023, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 65.2 | |
| L2PYear=2022, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 65 | |
| CODAPromptYear=2023, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 64.9 | |
| CLG-CBMYear=2025, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 64.2 | |
| Model StockYear=2024, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 64.1 | |
| EWCYear=2017, Backbone=CLIP ViT-B/16, Method Category=Conventional2026.05 | 58 | |
| LwFYear=2017, Backbone=CLIP ViT-B/16, Method Category=Conventional2026.05 | 57.5 |