CIL: Class-Incremental Learning/类增量学习【Life-Long Learning/Continual Learning】
Title | Venue | Year | Code | Code_Position |
---|---|---|---|---|
A survey on few-shot class-incremental learning | Neural Networks | 2024 | ||
Few-shot Class-incremental Learning: A Survey | ||||
Title | Venue | Year | Type | Code | Code_Position |
---|---|---|---|---|---|
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning | CVPR | 2024 | Adapter | Official | 📁 CVPR24-Ease-main |
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning | CVPR | 2024 | LoRA | Official | 📁 InfLoRA-main |
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning | ECCV | 2022 | Prompt | Official | 📁 dualprompt-pytorch-master |
FOSTER: Feature Boosting and Compression for Class-Incremental Learning | ECCV | 2022 | Prompt | Official | 📁 ECCV22-FOSTER-master |
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox | Toolbox | Official | 📁 LAMDA-PILOT-main |
||
Learning to Prompt for Continual Learning | CVPR | 2022 | Official | 📁 Learn-to-prompt-for-Continual-Learning-main |
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PyCIL: A Python Toolbox for Class-Incremental Learning | Toolbox | Official | 📁 PyCIL-master |
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Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need | Official | 📁 RevisitingCIL-main |
- `B-$m$ Inc-$n$' stands for the class split.
$m$ represents the number of categories in the initial incremental task, while$n$ denotes the number of subsequent incremental tasks, with categories in these tasks evenly distributed. If$m = 0$ , all categories in the dataset are evenly distributed across$n$ incremental tasks. - ViT-B/16-IN21K as the pre-trained backbone
- 实验日志位于每个方法文件夹下的
res
目录 - results:CNN/NME
B0 Inc5 | B0 Inc10 | B0 Inc20 | B50 Inc5 | B0 Inc10 | Code | |
---|---|---|---|---|---|---|
Ease | ||||||
InfLoRA | ||||||
CODA-Prompt | ||||||
DualPrompt | ||||||
L2P |
B0 Inc5 | B0 Inc10 | B0 Inc20 | B50 Inc5 | B0 Inc10 | Code | |
---|---|---|---|---|---|---|
FOSTER | 📁 LAMDA-PILOT-main |
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DER | 📁 LAMDA-PILOT-main |
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iCaRL | 87.34/90.9 | 85.74/90.22 | 84.07/89.43 | 83.46/88.83 | 80.67/87.06 | 📁 LAMDA-PILOT-main |