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StyleAugment: Learning Texture De-biased Representations by Style
  Augmentation without Pre-defined Textures

StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures

24 August 2021
Sanghyuk Chun
Song Park
ArXivPDFHTML

Papers citing "StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures"

4 / 4 papers shown
Title
Contrastive Visual Data Augmentation
Contrastive Visual Data Augmentation
Yu Zhou
B. Li
Mohan Tang
Xiaomeng Jin
Te-Lin Wu
Kuan-Hao Huang
Heng Ji
Kai-Wei Chang
Nanyun Peng
59
0
0
24 Feb 2025
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function
  Perspective
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
423
0
17 Feb 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
400
142
0
13 Jan 2021
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