sun-hailong / CVPR24-Ease
The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
☆70Updated last month
Alternatives and similar repositories for CVPR24-Ease:
Users that are interested in CVPR24-Ease are comparing it to the libraries listed below
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆47Updated 2 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆137Updated 8 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆46Updated 8 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆54Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆27Updated 9 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆98Updated 7 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆39Updated 5 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆136Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆117Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆82Updated 5 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆54Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆36Updated last year
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated 10 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆76Updated last month
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆50Updated 8 months ago
- ICLR2024 paper on Continual Learning☆35Updated last year
- ☆31Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 2 weeks ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆18Updated 2 weeks ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆34Updated 2 months ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆70Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆52Updated 2 years ago
- ☆16Updated 7 months ago
- ☆22Updated 2 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆94Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆110Updated last year
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆43Updated 2 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆13Updated 2 weeks ago