donghao51 / Awesome-Multimodal-AdaptationLinks
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
☆128Updated this week
Alternatives and similar repositories for Awesome-Multimodal-Adaptation
Users that are interested in Awesome-Multimodal-Adaptation are comparing it to the libraries listed below
Sorting:
- [CVPR 2025] Official PyTorch Code for "MMRL: Multi-Modal Representation Learning for Vision-Language Models" and its extension "MMRL++: P…☆76Updated 3 months ago
- Collection of Unsupervised Learning Methods for Vision-Language Models (VLMs)☆46Updated this week
- [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation☆69Updated last year
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆47Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆82Updated 5 months ago
- Official implementation of ResCLIP: Residual Attention for Training-free Dense Vision-language Inference☆43Updated 6 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆53Updated last year
- [ECCV 2024] Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision☆39Updated 4 months ago
- ☆19Updated 5 months ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆40Updated 9 months ago
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆84Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆108Updated 4 months ago
- [CVPR2025] Rethinking Query-based Transformer for Continual Image Segmentation☆32Updated 2 months ago
- [ECCV 2024] Soft Prompt Generation for Domain Generalization☆27Updated last year
- 定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件，较简单有注释)☆70Updated 9 months ago
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆76Updated last year
- [CVPR 2024] TEA: Test-time Energy Adaptation☆71Updated last year
- ☆41Updated 11 months ago
- [ICCV 2025] Official PyTorch Code for "Advancing Textual Prompt Learning with Anchored Attributes"☆99Updated last month
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆277Updated 2 years ago
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆81Updated last year
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated last year
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆247Updated 3 weeks ago
- Continual Forgetting for Pre-trained Vision Models (CVPR 2024)☆68Updated 2 months ago
- Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]☆49Updated 10 months ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆88Updated last month
- [ICCV25 Oral] Token Activation Map to Visually Explain Multimodal LLMs☆82Updated 2 months ago
- The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]☆44Updated 6 months ago
- Pytorch Implementation for CVPR 2024 paper: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation☆53Updated last month
- cliptrase☆46Updated last year