ZjjConan / VLM-MultiModalAdapterLinks
The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
☆94Updated 8 months ago
Alternatives and similar repositories for VLM-MultiModalAdapter
Users that are interested in VLM-MultiModalAdapter 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 Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆110Updated last year
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆55Updated last year
- [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".☆118Updated last year
- Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024☆260Updated 3 months ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- Official PyTorch Code for Anchor Token Guided Prompt Learning Methods: [ICCV 2025] ATPrompt and [Arxiv 2511.21188] AnchorOPT☆117Updated last week
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆102Updated 5 months ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆130Updated this week
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models (AAAI 2024)☆73Updated 10 months ago
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆83Updated last year
- Easy wrapper for inserting LoRA layers in CLIP.☆40Updated last year
- ☆55Updated last year
- ☆63Updated 2 months ago
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆110Updated last year
- ☆105Updated 2 years ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆199Updated 3 years ago
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆49Updated 5 months ago
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆109Updated last month
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆45Updated 9 months ago
- Official implementations of our LaZSL (ICCV'25)☆38Updated 5 months ago
- FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding (NIPS24)☆33Updated last month
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆59Updated last year
- ☆30Updated last year
- ☆22Updated last year
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆87Updated last year
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆95Updated 2 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated 2 years ago
- Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".☆44Updated last year