LAMDA-CL / Awesome-Few-Shot-Class-Incremental-LearningLinks
Awesome Few-Shot Class-Incremental Learning
☆247Updated last year
Alternatives and similar repositories for Awesome-Few-Shot-Class-Incremental-Learning
Users that are interested in Awesome-Few-Shot-Class-Incremental-Learning are comparing it to the libraries listed below
Sorting:
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆136Updated 2 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆165Updated 4 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆270Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆167Updated 4 years ago
- ☆33Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆117Updated 2 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆246Updated 5 years ago
- ☆101Updated 3 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆77Updated 8 months ago
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆39Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated 2 years ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆554Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆67Updated last year
- ☆13Updated 2 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆95Updated 4 years ago
- ☆37Updated 4 years ago
- ☆10Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆200Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆57Updated 3 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 3 years ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆603Updated last year
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆146Updated 3 years ago
- ☆58Updated 3 years ago
- Implementation of Learning without Forgetting paper☆133Updated 4 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆105Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆122Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆416Updated 2 years ago