ml-stat-Sustech / CLIP_Calibration
[ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
☆12Updated 9 months ago
Alternatives and similar repositories for CLIP_Calibration:
Users that are interested in CLIP_Calibration are comparing it to the libraries listed below
- Model calibration in CLIP Adapters☆16Updated 7 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆48Updated 4 months ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆24Updated 5 months ago
- ☆17Updated 10 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆39Updated 11 months ago
- Official Implementation of Curriculum of Data Augmentation for Long-tailed Recognition (CUDA) (ICLR'23 Spotlight)☆21Updated last year
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆31Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆34Updated 11 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆41Updated last week
- ☆26Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- ☆16Updated 5 months ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated last year
- Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23☆22Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆65Updated last year
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆27Updated last year
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆16Updated 2 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆39Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆36Updated 2 weeks ago
- [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"☆15Updated 9 months ago
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆28Updated last year
- [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"☆83Updated 8 months ago
- 【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…☆62Updated 2 months ago
- An open-world scenario domain generalization code base☆25Updated 2 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆23Updated 2 months ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆99Updated last year
- Towards Unified and Effective Domain Generalization☆30Updated last year