jusiro / CLAPLinks
[CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP).
☆77Updated 5 months ago
Alternatives and similar repositories for CLAP
Users that are interested in CLAP are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆55Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 10 months ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆108Updated last year
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆54Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆85Updated last year
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆95Updated 3 weeks ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆73Updated 2 years ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆53Updated last year
- ☆43Updated last month
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆109Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- ☆38Updated last year
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆43Updated 2 years ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆43Updated last year
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆140Updated last year
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆82Updated last year
- [ECCV 2024] Soft Prompt Generation for Domain Generalization☆27Updated last year
- Official Implementation of "Read-only Prompt Optimization for Vision-Language Few-shot Learning", ICCV 2023☆54Updated 2 years ago
- ☆53Updated last year
- Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"☆39Updated last year
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆35Updated last year
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- ☆12Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- ☆55Updated last year
- Model calibration in CLIP Adapters☆19Updated last year
- Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification☆107Updated last year
- [IJCV2025] https://arxiv.org/abs/2304.04521☆15Updated 9 months ago