idstcv / InMaPLinks
PyTorch Implementation for InMaP
☆10Updated last year
Alternatives and similar repositories for InMaP
Users that are interested in InMaP are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆105Updated last year
- Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.☆48Updated 3 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆43Updated 6 months ago
- ☆19Updated 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
- ☆38Updated last year
- Official implementations of our LaZSL (ICCV'25)☆34Updated 2 months ago
- ☆50Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆21Updated 11 months ago
- The official implementation for paper: Vision-Language Models are Strong Noisy Label Detectors☆16Updated 6 months ago
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆53Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification☆34Updated last year
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated 11 months ago
- The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".☆82Updated 5 months ago
- ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"☆18Updated last year
- ☆23Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆102Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆66Updated 8 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 11 months ago
- Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)☆42Updated last year
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆23Updated 4 months ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- Model calibration in CLIP Adapters☆19Updated last year
- ☆22Updated last year
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection☆25Updated last year
- Code for "Towards Effective Visual Representations for Partial-Label Learning" in CVPR 2023.☆23Updated last year
- [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models☆171Updated last year
- Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"☆16Updated last year
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 3 months ago