NJU-CLLab / Awesome-Few-Shot-Class-Incremental-Learning
Awesome Few-Shot Class-Incremental Learning
☆234Updated 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
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆162Updated 3 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆125Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆160Updated 3 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆231Updated 4 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆241Updated 4 months ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆108Updated last year
- ☆98Updated 2 years ago
- ☆29Updated last year
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆67Updated 7 months ago
- Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"☆27Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆50Updated last year
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.☆93Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆36Updated last year
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆86Updated 3 years ago
- Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.☆35Updated last year
- ☆176Updated 3 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆137Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆93Updated 2 years ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆109Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated 2 years ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆51Updated last year
- ☆35Updated 3 years ago
- ☆56Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆135Updated 6 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated last year
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆69Updated last year
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆201Updated 3 years ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆543Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆37Updated 4 months ago
- Implementation of Learning without Forgetting paper☆129Updated 4 years ago