Improve conditional adversarial domain adaptation using self‐training

Improve conditional adversarial domain adaptation using self‐training

Abstract Domain adaptation for image classification is one of the most fundamental transfer learning tasks and a promising solution to overcome the annotation burden. Existing deep adversarial domain adaptation approaches imply minimax optimization algorithms, matching the global features across dom...

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Bibliographic Details
Main Authors: Zi Wang, Xiaoliang Sun, Ang Su, Gang Wang, Yang Li, Qifeng Yu
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:IET Image Processing
Subjects:
Image recognition
Optimisation techniques
Computer vision and image processing techniques
Neural nets
Online Access:https://doi.org/10.1049/ipr2.12184

Internet

https://doi.org/10.1049/ipr2.12184

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