Class-Incremental Learning: A Survey (TPAMI 2024)

Learning without Forgetting for Vision-Language Models

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)

Awesome Few-Shot Class-Incremental Learning

The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.

Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)

The PyTorch code for LeadNet in the paper "Contextualizing Meta-Learning via Learning to Decompose (TPAMI 2023)"

Awesome Compatible Learning

Code of KDD'19 paper Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

The code repository for "Co-Transport for Class-Incremental Learning" (ACM MM'21) in PyTorch.

Awesome-open-world-learning

Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)