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Visual Chirality, Which You May Want To Understand In Terms Of The Data Augmentation Technique, Is

Visual Chirality, Which You May Want To Understand In Terms Of The Data Augmentation Technique, Is

Deep Learning

3 main points
✔️ Proposes a new concept in data augmentation
✔️ Recognizes left-right reversals that have not been noticed by humans

✔️ Extensions based on this property can be expected to further improve accuracy

Visual Chirality
written by Zhiqiu LinJin SunAbe DavisNoah Snavely
(Submitted on 16 Jun 2020)

Comments: Published by CVPR2020
Subjects: Computer Vision and Pattern Recognition (cs.CV)

Introduction

Data augmentation by left-right flipping is a very common method of data augmentation, and some of you may have used it without paying attention to it. I had been using it pretty much as a matter of course until I read this paper. The authors recognized the principle and the kind of change caused by the left-right flipping of images, but it was not clear what kind of change the left-right flipping caused in the statistical data of the images. I think you can imagine the image. I think many people also think that the statistics of the image will be flipped left and right. The authors easily answer those questions with their We propose a method for quantifying visual chirality. First of all. We'll look at what Visual Chirality is.

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