zhangce01 / DPE-CLIPLinks
[NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
☆43Updated 5 months ago
Alternatives and similar repositories for DPE-CLIP
Users that are interested in DPE-CLIP are comparing it to the libraries listed below
Sorting:
- ☆19Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆102Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆57Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆100Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 9 months ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆97Updated last month
- ☆22Updated last year
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆78Updated last year
- ☆50Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆67Updated last year
- ☆99Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 7 months ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆36Updated last year
- Code for our NeurIPS´24 paper☆35Updated 9 months ago
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆53Updated 10 months ago
- [CVPR 2023] Diversity-Aware Meta Visual Prompting☆82Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆77Updated 4 months ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆80Updated last year
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆53Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆81Updated last year
- ☆26Updated 6 months ago
- ☆25Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆106Updated last year
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆40Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆107Updated 2 months ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated 11 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 2 months ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated last year