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].
☆273Updated 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…☆281Updated 2 years ago
- [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"☆344Updated 3 weeks ago
- Easy wrapper for inserting LoRA layers in CLIP.☆40Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆95Updated 8 months ago
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆260Updated 3 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
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆119Updated last year
- [NeurIPS 2024 - Spotlight] Transduction for Vision-Language Models (TransCLIP): code for the paper "Boosting Vision-Language Models with …☆52Updated 8 months ago
- [CVPR 2025 - Highlight] Official implementation of the paper "Realistic Test-Time Adaptation of Vision-Language Models" (StatA).☆56Updated 2 months ago
- ☆60Updated 6 months ago
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆142Updated 2 years ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆102Updated 6 months ago
- ☆64Updated 2 months ago
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆50Updated 5 months ago
- [AAAI 2024] TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training☆105Updated last year
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆84Updated last year
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆134Updated 2 weeks ago
- The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]☆48Updated 9 months ago
- Official PyTorch Code for Anchor Token Guided Prompt Learning Methods: [ICCV 2025] ATPrompt and [Arxiv 2511.21188] AnchorOPT☆121Updated 2 weeks ago
- Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]☆97Updated 6 months ago
- FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding (NIPS24)☆33Updated last month
- ☆49Updated 10 months ago
- A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.☆737Updated last month
- Official PyTorch Implementation for Active Prompt Learning in Vision Language Models☆38Updated last year
- Official implementations of our LaZSL (ICCV'25)☆38Updated 5 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆112Updated last year
- ☆14Updated 8 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆172Updated 2 years ago
- ☆13Updated 10 months ago