BWLONG / Awesome-Prompt-Learning-CVLinks
This repository is a collection of awesome things about vision prompts, including papers, code, etc.
☆36Updated last year
Alternatives and similar repositories for Awesome-Prompt-Learning-CV
Users that are interested in Awesome-Prompt-Learning-CV are comparing it to the libraries listed below
Sorting:
- Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)☆89Updated 10 months ago
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated 10 months ago
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆105Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- The official GitHub page for the survey paper "CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey". And thi…☆52Updated last month
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆99Updated 2 months ago
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆80Updated 4 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆44Updated 2 months ago
- ☆50Updated last year
- ☆50Updated 2 months ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆22Updated 4 months ago
- Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"☆50Updated 2 years ago
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆48Updated 2 months ago
- ☆26Updated last year
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆71Updated 2 years ago
- ☆45Updated 5 months ago
- [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation☆73Updated 11 months ago
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆67Updated 2 years ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆53Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆83Updated last year
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆275Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆107Updated 3 months ago
- [CVPR2024] Simple Semantic-Aided Few-Shot Learning☆48Updated last year
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆80Updated last week
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated 2 years ago
- Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"☆38Updated last year
- Semi-Supervised Domain Adaptation with Source Label Adaptation, accepted to CVPR 2023☆43Updated last year
- ☆101Updated last year