Awesome Few-Shot Class-Incremental Learning

Pull requests are welcome if you find any interesting paper is missing.

Papers

2023

• 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]
• Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning (ICLR23)[paper]
• Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation (CVPR23)[paper]
• GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-shot Class Incremental Task (CVPR23)[paper]
• Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning (CVPR23)[paper]
• Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration (NeurIPS2023)[paper] [Code]

2022

• 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]

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]
• 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]

2020

• 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]

2019

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

2018

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