Towards robust rain removal against adversarial attacks: a comprehensive benchmark analysis and beyond

Towards robust rain removal against adversarial attacks: a comprehensive benchmark analysis and beyond

Rain removal aims to remove rain streaks from images/videos and reduce the disruptive effects caused by rain. It not only enhances image/video visibility but also allows many computer vision algorithms to function properly. This paper makes the first attempt to conduct a comprehensive study on the...

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Bibliographic Details
Main Authors: Yu, Yi, Yang, Wenhan, Tan, Yap Peng, Kot, Alex Chichung
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Rain Sreak Removal
Adversarial Attacks
Online Access:https://hdl.handle.net/10356/158475
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https://hdl.handle.net/10356/158475
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