-
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks(TPAMI22)[paper][Code]
-
Forward Compatible Few-Shot Class-Incremental Learning(CVPR22) [paper] [Code]
-
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning (CVPR22) [paper]
-
Constrained Few-shot Class-incremental Learning (CVPR22) [paper]
-
Subspace Regularizers for Few-Shot Class Incremental Learning (ICLR22) [paper]
-
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay (ECCV22) [paper]
-
Learning adaptive classifiers synthesis for generalized few-shot learning(IJCV21) [paper] [Code]
-
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning(TPAMI21) [paper]
-
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting(ICCV21) [paper]
-
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces(ICCV21) [paper]
-
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning(ICML21) [paper]
-
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima(NeurIPS21) [paper]
-
Few-shot incremental learning with continually evolved classifiers(CVPR21) [paper]
-
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning(CVPR21) [paper]
-
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning (CVPR21) [paper]
-
Incremental few-shot learning via vector quantization in deep embedded space(ICLR21) [paper]
-
Few-Shot Lifelong Learning(AAAI21) [paper]
- Few-Shot Class-Incremental Learning (CVPR20) [paper]
- Incremental Few-Shot Object Detection(CVPR20) [paper]
- XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning(ICML20) [paper]
- Incremental few-shot learning with attention attractor networks(NeurIPS19) [paper]
- Dynamic few-shot visual learning without forgetting(CVPR18) [paper]