Tackling Data Bias in Painting Classification with Style Transfer

6 January 2023

Hubert P. H. Shum

Papers citing "Tackling Data Bias in Painting Classification with Style Transfer"

24 / 24 papers shown

Title
Neural Neighbor Style Transfer Nicholas I. Kolkin Michal Kučera Sylvain Paris Daniel Sýkora Eli Shechtman G. Shakhnarovich 62 26 0 24 Mar 2022
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang Rong Jin Yue Gao SSL 122 41 0 12 Oct 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 99 317 0 08 Jun 2021
Feature-based Style Randomization for Domain Generalization Yue Wang Lei Qi Yinghuan Shi Yang Gao OOD 66 50 0 06 Jun 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 133 115 0 24 Mar 2021
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 118 503 0 10 Jun 2020
DADA: Differentiable Automatic Data Augmentation Yonggang Li Guosheng Hu Yongtao Wang Timothy M. Hospedales N. Robertson Yongxin Yang 69 110 0 08 Mar 2020
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs Jonathan Frankle D. Schwab Ari S. Morcos 85 143 0 29 Feb 2020
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset Yingtao Tian Chikahiko Suzuki Tarin Clanuwat Mikel Bober-Irizar Alex Lamb A. Kitamoto 109 31 0 20 Feb 2020
STaDA: Style Transfer as Data Augmentation Xu Zheng Tejo Chalasani Koustav Ghosal Sebastian Lutz A. Smolic 52 63 0 03 Sep 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 151 3,033 0 06 May 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 118 2,672 0 29 Nov 2018
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 81 297 0 27 Nov 2018
Style Augmentation: Data Augmentation via Style Randomization Philip T. G. Jackson Amir Atapour-Abarghouei Stephen Bonner T. Breckon B. Obara OOD 52 176 0 14 Sep 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 135 1,774 0 24 May 2018
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip Torr 103 441 0 06 Apr 2018
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 82 2,793 0 13 Dec 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,451 0 09 Oct 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy Joseph Lemley S. Bazrafkan Peter Corcoran 74 376 0 24 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 181 4,372 0 20 Mar 2017
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 90 1,168 0 24 May 2016
A Neural Algorithm of Artistic Style Leon A. Gatys Alexander S. Ecker Matthias Bethge GAN 88 2,862 0 26 Aug 2015
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature Babak Saleh Ahmed Elgammal 61 290 0 05 May 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014