Synthetic IR Image Refinement Using Adversarial Learning With Bidirectional Mappings
Collecting a large dataset of real infrared (IR) images is expensive, time-consuming, and even unavailable in some specific scenarios. With recent progress in machine learning, it has become more feasible to replace real IR images with qualified synthetic IR images in learning-based IR systems. Howe...
Main Authors: | Ruiheng Zhang, Chengpo Mu, Min Xu, Lixin Xu, Qiaolin Shi, Junbo Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8871125/ |
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