Awesome Few-Shot Class-Incremental Learning

Surveys

2023

• Towards Label-Efficient Incremental Learning: A Survey [paper]

Papers

2023

• Dynamic Support Network for Few-Shot Class Incremental Learning (TPAMI23) [paper]

• Memorizing Complementation Network for Few-Shot Class-Incremental Learning (TIP23) [paper]

• Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning (ICLR23) [paper]

• On the Soft-Subnetwork for Few-shot Class Incremental Learning (ICLR23) [paper]

• Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning (ICLR23) [paper][code]

• SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning (WACV23) [paper]

2022

• Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation (NeurIPS22) [paper][code]

• Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay (ECCV22) [paper][code]

• S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning (ECCV22) [paper]

• Few-Shot Class-Incremental Learning from an Open-Set Perspective (ECCV22) [paper][code]

• Coarse-To-Fine Incremental Few-Shot Learning (ECCV22) [paper][code]

• Few-Shot Class-Incremental Learning for 3D Point Cloud Objects (ECCV22) [paper][code]

• Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks (TPAMI22) [paper][code]

• Few-Shot Class-Incremental Learning Leveraging Self-Supervised Features (CVPRW22) [paper] [code]

• Variable Few Shot Class Incremental and Open World Learning (CVPRW22) [paper] [code]

• Few-Shot Incremental Learning for Label-to-Image Translation (CVPR22) [paper]

• Forward Compatible Few-Shot Class-Incremental Learning (CVPR22) [paper] [code]

• MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning (CVPR22) [paper][code]

• Constrained Few-shot Class-incremental Learning (CVPR22) [paper][code]

• Subspace Regularizers for Few-Shot Class Incremental Learning (ICLR22) [paper][code]

2021

• 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][code]

• Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces (ICCV21) [paper][code]

• GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning (ICML21) [paper][code]

• Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima (NeurIPS21) [paper][code]

• Few-shot incremental learning with continually evolved classifiers (CVPR21) [paper][code]

• Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning (CVPR21) [paper][code]

• Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning (CVPR21) [paper][code]

• Incremental few-shot learning via vector quantization in deep embedded space (ICLR21) [paper]

• Few-Shot Lifelong Learning (AAAI21) [paper][code]

2020

• Few-Shot Class-Incremental Learning (CVPR20) [paper][code]

• Incremental Few-Shot Object Detection (CVPR20) [paper]

• XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning (ICML20) [paper][code]

• Incremental Meta-Learning via Indirect Discriminant Alignment (ECCV20) [paper]

2019

• Incremental few-shot learning with attention attractor networks (NeurIPS19) [paper][code]

2018

• Dynamic few-shot visual learning without forgetting (CVPR18) [paper][code]