sun-hailong / CVPR24-EaseLinks
[CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
☆72Updated 2 months ago
Alternatives and similar repositories for CVPR24-Ease
Users that are interested in CVPR24-Ease are comparing it to the libraries listed below
Sorting:
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 4 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆143Updated 10 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated 10 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆100Updated 9 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆60Updated last year
- ICLR2024 paper on Continual Learning☆36Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆141Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆56Updated 2 weeks ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 7 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆118Updated 2 years ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆39Updated 7 months ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆36Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆39Updated 4 months ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated last year
- ☆22Updated last year
- ☆12Updated 2 years ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆23Updated 3 weeks ago
- ☆16Updated 9 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆197Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆44Updated 2 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 2 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆16Updated 8 months ago
- ☆12Updated 11 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆81Updated 3 months ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆131Updated last year
- Online Prototype Learning for Online Continual Learning (ICCV 2023)☆37Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year