Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation (original) (raw)

Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation

Mattia Litrico

arXiv (Cornell University), 2023

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Domain Adaptation Without Source Data

priyadarshini panda

IEEE Transactions on Artificial Intelligence, 2021

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On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation

Yuheng Bu

2022

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IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes

jinang shah

2021

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Balancing Discriminability and Transferability for Source-Free Domain Adaptation

Suvaansh Bhambri

2022

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OneRing: A Simple Method for Source-free Open-partial Domain Adaptation

Joost van de Weijer

arXiv (Cornell University), 2022

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Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation

Hamid Miah

ArXiv, 2021

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Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

Aneeshan Sain

ArXiv, 2020

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Deep Domain Adaptation With Differential Privacy

Qin Zou

IEEE Transactions on Information Forensics and Security, 2020

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Progressive Domain Adaptation from a Source Pre-trained Model

priyadarshini panda

arXiv: Computer Vision and Pattern Recognition, 2020

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CoNMix for Source-free Single and Multi-target Domain Adaptation

Himanshu Patil

2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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A Prototype-Oriented Framework for Unsupervised Domain Adaptation

Huangjie Zheng

2021

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Contrastive Vicinal Space for Unsupervised Domain Adaptation

jaemin na

Cornell University - arXiv, 2021

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Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

Akshay Mehra

2021

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CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation

ankit kumar singh

Cornell University - arXiv, 2021

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Your Classifier can Secretly Suffice Multi-Source Domain Adaptation

Naveen Venkat

arXiv (Cornell University), 2021

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Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

Joost van de Weijer

arXiv (Cornell University), 2022

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A Survey on Adversarial Domain Adaptation

mahta hassanpour

Neural Processing Letters

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FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation

Hyung Jin Chang

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

Suvaansh Bhambri

2022

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IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation

Alireza Bab-hadiashar

arXiv (Cornell University), 2022

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Learning Factorized Representations for Open-set Domain Adaptation

Mathieu Salzmann

2019

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Generalized Source-free Domain Adaptation

Joost van de Weijer

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021

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Targeted adversarial discriminative domain adaptation

Genshe Chen

Geospatial Informatics XI, 2021

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Distributionally Robust Learning for Unsupervised Domain Adaptation

Anqi Liu

ArXiv, 2020

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A Survey of Unsupervised Deep Domain Adaptation

Garrett Wilson

ACM Transactions on Intelligent Systems and Technology, 2020

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Source-Free Progressive Graph Learning for Open-Set Domain Adaptation

Zhuoxiao Chen

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Joint cross-domain classification and subspace learning for unsupervised adaptation

Basura Fernando

Pattern Recognition Letters, 2015

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Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation

Sandipan Choudhuri

2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020

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Conditional Adversarial Domain Adaptation

Zhangjie Cao

2018

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Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation

shanu kumar

ArXiv, 2021

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A DIRT-T Approach to Unsupervised Domain Adaptation

hung bui

ArXiv, 2018

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