AtsuMiyai / Awesome-OOD-VLMLinks
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]
☆97Updated 4 months ago
Alternatives and similar repositories for Awesome-OOD-VLM
Users that are interested in Awesome-OOD-VLM are comparing it to the libraries listed below
Sorting:
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 3 months ago
- ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No☆140Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆89Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆108Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆102Updated last year
- [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"☆108Updated 5 months ago
- (ICCV 2023) Parametric Classification for Generalized Category Discovery: A Baseline Study☆116Updated last year
- [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…☆276Updated 2 years ago
- CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models☆85Updated last year
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆83Updated 6 months ago
- Official code repo for CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer☆26Updated 2 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 4 months ago
- [NeurIPS 2023] Meta-Adapter☆48Updated last year
- [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization☆107Updated last year
- [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…☆78Updated 4 months ago
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆170Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 11 months ago
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆70Updated last year
- ☆50Updated last year
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆82Updated last year
- ☆40Updated last year
- [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.☆94Updated last week
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆49Updated 3 months ago
- Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"☆38Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆68Updated 2 years ago
- An official code for "Endpoints Weight Fusion for Class Incremental Semantic Segmentation"☆36Updated 2 years ago
- Official implementations of our LaZSL (ICCV'25)☆36Updated 3 months ago
- [CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation☆51Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆199Updated 3 years ago