jusiro / CLAPLinks
[CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP).
☆74Updated last month
Alternatives and similar repositories for CLAP
Users that are interested in CLAP are comparing it to the libraries listed below
Sorting:
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆64Updated 6 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆106Updated last year
- [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners☆44Updated 2 years ago
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆76Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- ☆48Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 8 months ago
- Task Residual for Tuning Vision-Language Models (CVPR 2023)☆73Updated 2 years ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆39Updated 11 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆50Updated last year
- [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.☆82Updated 11 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆101Updated last year
- ☆53Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆139Updated last year
- ☆41Updated 6 months ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆96Updated last week
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆53Updated 9 months ago
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆56Updated last year
- ☆37Updated last year
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆76Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated 10 months ago
- Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]☆103Updated last year
- This is the official code of "Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation, NeurIPS 23"☆26Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆48Updated 3 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆167Updated last year
- Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"☆36Updated last year
- [CVPR 2024] Code for our Paper "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets"☆41Updated 6 months ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year