Multi-source unsupervised domain adaptation for object detection

Author:

Zhang Dan,Ye MaoORCID,Liu Yiguang,Xiong Lin,Zhou Lihua

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference68 articles.

1. Deep domain confusion: Maximizing for domain invariance;Tzeng,2014

2. Central moment discrepancy (cmd) for domain-invariant representation learning;Zellinger,2017

3. J.-Y. Zhu, T. Park, P. Isola, A.A. Efros, Unpaired image-to-image translation using cycle-consistent adversarial networks, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 2223–2232.

4. Algorithms and theory for multiple-source adaptation;Hoffman,2018

5. Multi-source domain adaptation in the deep learning era: A systematic survey;Zhao,2020

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