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A Pytorch implementation of CVPR'21 single center loss
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
Author's implementation in Pytorch for InCo (ECML-PKDD, 2022)
[CVPR 2023] The official repository of our paper "Upcycling Models under Domain and Category Shift"
[IROS 2023] Source code for "Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation"
A study reimplementing the paper "Learning Factorized Representations for Open-set Domain Adaptation" by Baktashmotlagh et al.
Source Code of SIBGRAPI'2023 "Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation"
The code of "Discriminative Feature Learning for Open Set Domain Alignment" will be available soon.
Source code for Balanced Open Set Domain Adaptation via Centroid Alignment
[ECCV' 22] Unknown-oriented Learning for Open Set Domain Adaptation
Known-class Aware Self-ensemble for Open Set Domain Adaptation
This repository is the official implementation of "A Self-supervised-driven Open-set Unsupervised Domain Adaptation Method for Optical Remote Sensing Image Scene Classification and Retrieval" (IEEE…
Code and data released for paper "Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment"
Code Release for the CVPR 2020 (oral) paper, "Towards Inheritable Models for Open-set Domain Adaptation".
Pytorch implementation of Open Set Domain Adaptation with Soft Unknown-Class Rejection.
Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".
Code repository for NeurIPS 2022 submission titled "Domain Adaptation under Open Set Label Shift"
This work is the official Pytorch implementation of our papers: Source-Free Progressive Graph Learning for Open-Set Domain Adaptation (TPAMI))
[CVPR' 23] Adjustment and Alignment for Unbiased Open Set Domain Adaptation
Open Set Domain Adaptation with Entropy Minimization
[CVPR22'] SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习