Impression2805 / IL2ALinks
PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"
☆38Updated 3 years ago
Alternatives and similar repositories for IL2A
Users that are interested in IL2A are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆118Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆98Updated 3 years ago
- ☆60Updated 3 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆133Updated last year
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆25Updated 2 years ago
- ☆33Updated 2 years ago
- ☆36Updated 4 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆164Updated 3 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆165Updated 4 years ago
- ☆29Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆98Updated 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
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆26Updated 3 years ago
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆23Updated 3 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆54Updated 8 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆57Updated 2 years ago
- ☆10Updated last year
- ☆61Updated 2 years ago
- ☆35Updated 3 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆124Updated 3 years ago
- Continual Learning with Transformer☆26Updated 3 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- ☆13Updated 2 years ago
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆145Updated 3 years ago
- ☆60Updated 3 years ago
- Awesome-open-world-learning☆26Updated 4 years ago
- Awesome Few-Shot Class-Incremental Learning☆244Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆76Updated 6 months ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆38Updated last year