Toward domain adaptation with open-set target data: Review of theory and computer vision applications-Reference-Cited by-同舟云学术

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Toward domain adaptation with open-set target data: Review of theory and computer vision applications

Published:2023-12 Issue: Volume:100 Page:101912
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Ghaffari Reyhane^ORCID,Helfroush Mohammad Sadegh,Khosravi Abbas,Kazemi Kamran,Danyali Habibollah,Rutkowski Leszek

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference249 articles.

1. Orthogonal deep neural networks;Li;IEEE Trans. Pattern Anal. Mach. Intell.,2019

2. Fully convolutional networks for semantic segmentation;Long,2015

3. Two-stream convolutional networks for action recognition in videos;Simonyan;Adv. Neural Inf. Process. Syst.,2014

4. Convolutional networks with dense connectivity;Huang;IEEE Trans. Pattern Anal. Mach. Intell.,2019

5. A survey of transfer learning;Weiss;J. Big Data,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends;ISPRS Journal of Photogrammetry and Remote Sensing;2024-03

2. An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision;Applied Sciences;2023-11-29

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