Class-Incremental Learning: A Survey (TPAMI 2024)
β278Nov 7, 2024Updated last year
Alternatives and similar repositories for CIL_Survey
Users that are interested in CIL_Survey are comparing it to the libraries listed below
Sorting:
- PyCIL: A Python Toolbox for Class-Incremental Learningβ1,057Jan 29, 2026Updated last month
- π PILOT: A Pre-trained Model-Based Continual Learning Toolboxβ567Jan 29, 2026Updated last month
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)β152Aug 25, 2024Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorchβ47Mar 21, 2023Updated 2 years ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.β561May 26, 2023Updated 2 years ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.β81Apr 1, 2025Updated 11 months ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)β138Oct 31, 2023Updated 2 years ago
- a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.β107Sep 3, 2025Updated 6 months ago
- π π A curated list of awesome papers for incremental learning with pre-trained modelsβ58Jun 9, 2025Updated 8 months ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repositoryβ606May 11, 2024Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021β169Oct 29, 2021Updated 4 years ago
- Code for NeurIPS 2022 paper βS-Prompts Learning with Pre-trained Transformers: An Occamβs Razor for Domain Incremental Learningββ106Sep 26, 2024Updated last year
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)β11Jun 7, 2024Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power β¦β53Aug 17, 2024Updated last year
- Awesome Incremental Learningβ4,410Jan 29, 2026Updated last month
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"β155Oct 5, 2023Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), Sβ¦β418May 30, 2023Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".β109Dec 13, 2022Updated 3 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)β89Nov 15, 2024Updated last year
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ β¦β473Jul 30, 2024Updated last year
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)β472Apr 10, 2025Updated 10 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22β126Feb 12, 2023Updated 3 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.β60Nov 29, 2022Updated 3 years ago
- Learning a Unified Classifier Incrementally via Rebalancingβ194Apr 23, 2021Updated 4 years ago
- Awesome Few-Shot Class-Incremental Learningβ248Jan 14, 2024Updated 2 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classβ¦β1,827Nov 5, 2025Updated 4 months ago
- Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"β22Oct 26, 2022Updated 3 years ago
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (β¦β80Feb 7, 2023Updated 3 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22β202Oct 14, 2023Updated 2 years ago
- β56Apr 3, 2023Updated 2 years ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.β352Jan 27, 2026Updated last month
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)β25Dec 31, 2025Updated 2 months ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"β119May 13, 2023Updated 2 years ago
- β177Feb 21, 2022Updated 4 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorchβ69Jan 14, 2024Updated 2 years ago
- Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"β45Jun 4, 2024Updated last year
- PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)β109Jan 26, 2025Updated last year
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)β248Sep 20, 2020Updated 5 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).β408Oct 3, 2023Updated 2 years ago