CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

13 May 2019

Papers citing "CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features"

5 / 2,505 papers shown

Title
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 46 29 0 05 Jun 2019
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion Adam Kortylewski Qing Liu Huiyu Wang Zhishuai Zhang Alan Yuille 38 62 0 28 May 2019
Fast AutoAugment Sungbin Lim Ildoo Kim Taesup Kim Chiheon Kim Sungwoong Kim 47 592 0 01 May 2019
Res2Net: A New Multi-scale Backbone Architecture Shanghua Gao Ming-Ming Cheng Kai Zhao Xinyu Zhang Ming-Hsuan Yang Philip Torr 51 2,358 0 02 Apr 2019
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 58 1,950 0 18 Sep 2018