TamashaM / NAPA-VQLinks
☆12Updated 11 months ago
Alternatives and similar repositories for NAPA-VQ
Users that are interested in NAPA-VQ are comparing it to the libraries listed below
Sorting:
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆16Updated 8 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 2 months ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆25Updated 6 months ago
- ☆22Updated last year
- 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
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆72Updated 2 months ago
- ☆28Updated 9 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆39Updated 4 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 "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated last year
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆26Updated last year
- Code for our NeurIPS´24 paper☆33Updated 7 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 2 weeks ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 4 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆118Updated 2 years ago
- ☆21Updated 5 months ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆23Updated 3 weeks ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆141Updated last year
- ☆15Updated 2 years ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated 2 years ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆61Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆81Updated 3 months ago
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆15Updated last year
- ☆10Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- Instruction Tuning in Continual Learning paradigm☆50Updated 4 months ago
- ☆23Updated 3 weeks ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆12Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 7 months ago