arthurdouillard / dytoxView external linksLinks
Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022
☆148Jun 30, 2022Updated 3 years ago
Alternatives and similar repositories for dytox
Users that are interested in dytox are comparing it to the libraries listed below
Sorting:
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆169Oct 29, 2021Updated 4 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆408Oct 3, 2023Updated 2 years ago
- A clean and simple data loading library for Continual Learning☆445Jun 25, 2023Updated 2 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆25Nov 15, 2021Updated 4 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆108Dec 13, 2022Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Aug 25, 2024Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆119May 13, 2023Updated 2 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆780Nov 22, 2025Updated 2 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Sep 26, 2024Updated last year
- ☆10Nov 15, 2023Updated 2 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆471Apr 10, 2025Updated 10 months ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆473Jul 30, 2024Updated last year
- PyCIL: A Python Toolbox for Class-Incremental Learning☆1,056Jan 29, 2026Updated 2 weeks ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆560May 26, 2023Updated 2 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆25Oct 20, 2024Updated last year
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Dec 19, 2022Updated 3 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆203Oct 14, 2023Updated 2 years ago
- Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…☆35Feb 10, 2023Updated 3 years ago
- [NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning☆63Mar 10, 2023Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Sep 25, 2022Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆99Feb 26, 2023Updated 2 years ago
- [CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation☆109Oct 25, 2023Updated 2 years ago
- The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.☆18May 25, 2023Updated 2 years ago
- ☆13Apr 7, 2022Updated 3 years ago
- An Incremental Learning, Continual Learning, and Life-Long Learning Repository☆606May 11, 2024Updated last year
- ☆60Apr 1, 2022Updated 3 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆156Oct 5, 2023Updated 2 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Mar 25, 2023Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆137Oct 31, 2023Updated 2 years ago
- ☆67Feb 8, 2022Updated 4 years ago
- Awesome Incremental Learning☆4,394Jan 29, 2026Updated 2 weeks ago
- ☆30Nov 4, 2023Updated 2 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆419May 30, 2023Updated 2 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆17Aug 14, 2022Updated 3 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆248Sep 20, 2020Updated 5 years ago
- ☆30Aug 8, 2021Updated 4 years ago
- PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆70Jul 24, 2021Updated 4 years ago
- ☆17Nov 3, 2022Updated 3 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆58Nov 29, 2022Updated 3 years ago