kdiAAA / TDALinks
[CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
☆110Updated last year
Alternatives and similar repositories for TDA
Users that are interested in TDA are comparing it to the libraries listed below
Sorting:
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆45Updated 9 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆59Updated last year
- ☆21Updated last week
- ☆105Updated 2 years ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆110Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆102Updated 5 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated 2 years ago
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆83Updated last year
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆97Updated 2 years ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆199Updated 3 years ago
- Code for our NeurIPS´24 paper☆38Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆56Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆84Updated last year
- ☆55Updated 2 years ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated 2 years ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆94Updated 8 months ago
- ☆55Updated last year
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆55Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 11 months ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆18Updated 2 years ago
- ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"☆18Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆54Updated last year
- Official implementations of our LaZSL (ICCV'25)☆38Updated 5 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Updated 6 months ago
- Code of ICLR 2025 paper "DynaPrompt: Dynamic Test-Time Prompt Tuning"☆20Updated 10 months ago
- ☆48Updated 8 months ago