zhengzangw / DoPromptLinks
Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
☆50Updated 2 years ago
Alternatives and similar repositories for DoPrompt
Users that are interested in DoPrompt are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687☆95Updated 2 years ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆37Updated 2 years ago
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆103Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆109Updated 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
- 🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]☆30Updated last year
- Domain Generalization through Distilling CLIP with Language Guidance☆33Updated 2 years ago
- ☆53Updated last year
- (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization☆33Updated 2 years ago
- ☆55Updated last year
- ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection☆25Updated last year
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆68Updated 10 months ago
- ☆53Updated 3 years ago
- [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP☆55Updated last year
- ☆104Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆42Updated last year
- The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation☆37Updated last year
- "Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)☆41Updated 2 years ago
- ☆45Updated 2 years ago
- Twin Contrastive Learning with Noisy Labels (CVPR 2023)☆71Updated 2 years ago
- [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning☆100Updated 4 months ago
- Pytorch implementation for "Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need" (CVPR 2023)☆72Updated 2 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated last year
- ☆40Updated last year
- The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"☆58Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆91Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- ☆34Updated 2 years ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year