YuyangSunshine / Awesome-Continual-learning-of-Vision-Language-ModelsLinks
☆24Updated last month
Alternatives and similar repositories for Awesome-Continual-learning-of-Vision-Language-Models
Users that are interested in Awesome-Continual-learning-of-Vision-Language-Models are comparing it to the libraries listed below
Sorting:
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated 11 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆14Updated 2 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆74Updated 3 months ago
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆23Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆39Updated 2 weeks ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆85Updated 4 months ago
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆71Updated 9 months ago
- ☆22Updated last year
- ☆12Updated last year
- A repository and benchmark for online test-time adaptation.☆237Updated last month
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆56Updated last month
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆144Updated last year
- Code for 2023 ICCV paper 'Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection'☆42Updated 4 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- PyTorch implementation of "Continual Detection Transformer for Incremental Object Detection" (CVPR 2023)☆101Updated 5 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆101Updated 9 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆197Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 5 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆61Updated last year
- CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning☆15Updated last year
- [NeurIPS 2023] Focus Your Attention when Few-Shot Classification☆17Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 8 months ago
- ☆136Updated 7 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆40Updated 8 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆81Updated 10 months ago
- ☆21Updated 6 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆16Updated 9 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆145Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆101Updated last year