naver-ai / dap-clLinks
Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
☆43Updated last year
Alternatives and similar repositories for dap-cl
Users that are interested in dap-cl are comparing it to the libraries listed below
Sorting:
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆101Updated last year
- Code for our NeurIPS´24 paper☆36Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆149Updated 2 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆54Updated 8 months ago
- ☆54Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated 2 years ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆108Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆91Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆102Updated 2 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆89Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆19Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆43Updated 7 months ago
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆95Updated 2 years ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆53Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 4 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆102Updated last year
- ☆47Updated 6 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆170Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆104Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆82Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 3 months ago
- ☆29Updated 8 months ago
- ☆103Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆198Updated 2 years ago
- [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning☆72Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆199Updated 3 years ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆45Updated 3 months ago