MaxZanella / CLIP-LoRALinks
An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].
☆282Updated 7 months ago
Alternatives and similar repositories for CLIP-LoRA
Users that are interested in CLIP-LoRA are comparing it to the libraries listed below
Sorting:
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆282Updated 2 years ago
- [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"☆346Updated last month
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆95Updated 9 months ago
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆120Updated last year
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆269Updated 4 months ago
- Easy wrapper for inserting LoRA layers in CLIP.☆40Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆50Updated 6 months ago
- [CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentati…☆61Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆102Updated 6 months ago
- The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]☆48Updated 10 months ago
- ☆49Updated 11 months ago
- [CVPR 2025 - Highlight] Official implementation of the paper "Realistic Test-Time Adaptation of Vision-Language Models" (StatA).☆56Updated 2 months ago
- Official PyTorch Code for Anchor Token Guided Prompt Learning Methods: [ICCV 2025] ATPrompt and [Arxiv 2511.21188] AnchorOPT☆121Updated last month
- Official PyTorch Implementation for Active Prompt Learning in Vision Language Models☆39Updated last year
- FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding (NIPS24)☆34Updated 2 months ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆145Updated last week
- A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.☆745Updated last month
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆141Updated 2 years ago
- [NeurIPS 2024 - Spotlight] Transduction for Vision-Language Models (TransCLIP): code for the paper "Boosting Vision-Language Models with …☆52Updated 9 months ago
- Official implementations of our LaZSL (ICCV'25)☆39Updated 6 months ago
- [AAAI 2024] TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training☆105Updated 2 years ago
- ☆64Updated 3 months ago
- Official implementation of ResCLIP: Residual Attention for Training-free Dense Vision-language Inference☆58Updated 3 months ago
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆84Updated last year
- Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]☆97Updated 7 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆112Updated last year
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆52Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆174Updated 2 years ago
- ☆56Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year