zhoudw-zdw / CIL_Survey
Class-Incremental Learning: A Survey (TPAMI 2024)
☆235Updated 3 months ago
Alternatives and similar repositories for CIL_Survey:
Users that are interested in CIL_Survey are comparing it to the libraries listed below
- Awesome Few-Shot Class-Incremental Learning☆229Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆157Updated 3 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆107Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆132Updated 5 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆187Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆124Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆52Updated 2 years ago
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆77Updated last year
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆162Updated 3 years ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆63Updated 6 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆94Updated 4 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆46Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆37Updated 3 months ago
- ICLR2024 paper on Continual Learning☆31Updated 9 months ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆92Updated 2 years ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.☆92Updated 2 years ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆135Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆110Updated 2 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆135Updated 2 years ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆51Updated last year
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆568Updated 9 months ago
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆359Updated last week
- ☆99Updated 2 years ago
- A curated list of Continual Learning papers and BibTeX entries☆174Updated 3 months ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆396Updated last year
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆200Updated 3 years ago
- Official implementation of AAAI 2023 paper "Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference…☆34Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆36Updated last year
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆231Updated 4 years ago