by-liu / CALSLinks
Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2211.15088
☆25Updated 2 years ago
Alternatives and similar repositories for CALS
Users that are interested in CALS are comparing it to the libraries listed below
Sorting:
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆24Updated last year
- code for our paper localized adversarial domain generalization☆15Updated 3 years ago
- Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning TPAMI 2023☆25Updated last year
- ☆45Updated 2 years ago
- ☆15Updated last year
- Code for CAiDA☆24Updated 3 years ago
- The code of paper "Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Lear…☆13Updated 3 months ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆105Updated 3 years ago
- Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"☆29Updated 2 years ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆21Updated 10 months ago
- ☆56Updated 5 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆27Updated 2 years ago
- ☆40Updated 4 years ago
- ☆28Updated 2 years ago
- PyTorch implementation of MGRB (TKDE2022)☆10Updated 3 years ago
- [IMWUT/UbiComp 2024] Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition☆23Updated 2 years ago
- Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"☆36Updated 10 months ago
- [CVPR 2024] TEA: Test-time Energy Adaptation☆71Updated last year
- Code for paper "Source Data and Target Annotations Agnostic Transferability Representation for Source-Free Unsupervised Domain Adaptatio…☆14Updated last year
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆38Updated last year
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- ☆11Updated 2 years ago
- (NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty☆33Updated last year
- This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (T…☆28Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- CDS: Cross-Domain Self-supervised Pre-training☆27Updated 4 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Updated 3 months ago
- [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization☆55Updated last year
- MattiaLitrico / Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-AdaptationCode for "Guiding-Pseudo-labels-with-Uncertainty-Estimation-for-Source-free-Unsupervised-Domain-Adaptation" (CVPR 2023)☆101Updated 2 years ago
- [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",☆71Updated last year