Luoyadan / SF-PGLLinks
This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (TPAMI))
☆25Updated last year
Alternatives and similar repositories for SF-PGL
Users that are interested in SF-PGL are comparing it to the libraries listed below
Sorting:
- ☆25Updated 2 years ago
- 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)☆98Updated 2 years ago
- code for our paper localized adversarial domain generalization☆15Updated 3 years ago
- This is an official PyTorch implementation of the ICLR 2023 paper 《Free Lunch for Domain Adversarial Training: Environment Label Smoothin…☆59Updated 2 years ago
- Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".☆20Updated 2 years ago
- Code for CAiDA☆24Updated 3 years ago
- [CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"☆31Updated 3 months ago
- ☆22Updated last year
- [CVPR 2023] Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery☆26Updated last year
- ☆24Updated 2 years ago
- [CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation☆19Updated 2 years ago
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆20Updated 11 months ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆13Updated 4 years ago
- Code for 'OneRing: A Simple Method for Source-free Open-partial Domain Adaptation'☆33Updated 2 years ago
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 2 years ago
- Code released for our ACM MM 2021 paper "Imbalanced Source-free Domain Adaptation".☆21Updated 3 years ago
- Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)☆58Updated 3 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆77Updated 2 years ago
- Code for paper "Source Data and Target Annotations Agnostic Transferability Representation for Source-Free Unsupervised Domain Adaptatio…☆14Updated last year
- code for Denoised_Maximum_Classifier_Discrepancy_for_Source-Free_Unsupervised_Domain_Adaptation☆20Updated 3 years ago
- The official implementation for DomainDrop (ICCV 2023).☆49Updated last year
- SF(DA)²: Source-free Domain Adaptation Through the Lens of Data Augmentation (ICLR 2024)☆19Updated last year
- ☆25Updated 2 years ago
- ☆37Updated 4 years ago
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆53Updated 3 years ago
- Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)☆60Updated 5 years ago
- code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"☆120Updated 2 years ago
- ☆47Updated 3 years ago
- This repository provides the official implementation for Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain …☆33Updated 3 years ago
- Open set domain adaptation code DAOD☆28Updated 3 years ago