ml-stat-Sustech / CLIP_CalibrationLinks
[ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP
☆13Updated 11 months ago
Alternatives and similar repositories for CLIP_Calibration
Users that are interested in CLIP_Calibration are comparing it to the libraries listed below
Sorting:
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated 6 months ago
- ☆17Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"☆41Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Updated last year
- LCA-on-the-line (ICML 2024 Oral)☆11Updated 3 months ago
- [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization☆33Updated last year
- LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)☆29Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆10Updated 3 months ago
- Model calibration in CLIP Adapters☆17Updated 9 months ago
- [NeurIPS 2023] Generalized Logit Adjustment☆37Updated last year
- (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning☆28Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆26Updated last month
- ☆27Updated last year
- Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)☆14Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆46Updated 2 months ago
- ☆26Updated 2 years ago
- [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning☆18Updated 2 years ago
- Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)☆28Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆66Updated last year
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆26Updated 11 months ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆21Updated 7 months ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- ☆65Updated last year
- [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"☆16Updated 11 months ago
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆26Updated 7 months ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆40Updated 2 years ago
- ☆13Updated 2 years ago
- Official Repository of "On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers" (Visual Continual Learnin…☆8Updated last year