Artistic Domain Generalisation Methods are Limited by their Deep Representations

Type: Preprint

Publication Date: 2019-01-01

Citations: 2

DOI: https://doi.org/10.48550/arxiv.1907.12622

Locations

  • arXiv (Cornell University) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Artistic Domain Generalisation Methods are Limited by their Deep Representations 2019 Padraig Boulton
Peter Hall
+ The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs 2015 Hongping Cai
Qi Wu
Tadeo Corradi
Peter Hall
+ PDF Chat SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks 2020 Alex Lamb
Sherjil Ozair
Vikas Verma
David Ha
+ SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks 2019 Alex Lamb
Sherjil Ozair
Vikas Verma
David Ha
+ Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art 2017 Mihai Badea
Corneliu Florea
Laura Florea
Constantin Vertan
+ Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art 2017 Mihai Badea
Corneliu Florea
Laura Florea
Constantin Vertan
+ Deeper, Broader and Artier Domain Generalization 2017 Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
+ SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition 2016 Ravi Kiran Sarvadevabhatla
Shiv Surya
Srinivas S S Kruthiventi
Venkatesh Babu Radhakrishnan
+ SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition 2016 Ravi Kiran Sarvadevabhatla
Shiv Surya
Srinivas S S Kruthiventi
Venkatesh Babu Radhakrishnan
+ Robust and Generalizable Visual Representation Learning via Random Convolutions 2020 Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
+ Domain Generalization with Domain-Specific Aggregation Modules 2018 Antonio D’Innocente
Barbara Caputo
+ Domain Generalization with Domain-Specific Aggregation Modules 2018 Antonio D’Innocente
Barbara Caputo
+ Learning the Roots of Visual Domain Shift 2016 Tatiana Tommasi
Martina Lanzi
Paolo Russo
Barbara Caputo
+ Learning the Roots of Visual Domain Shift 2016 Tatiana Tommasi
Martina Lanzi
Paolo Russo
Barbara Caputo
+ Transfer Learning for Illustration Classification 2018 Manuel Lagunas
Elena Garcés
+ Domain Adaptation for Visual Applications: A Comprehensive Survey 2017 Gabriela Csurka
+ Domain Adaptation for Visual Applications: A Comprehensive Survey 2017 Gabriela Csurka
+ Learning multiple visual domains with residual adapters 2017 Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
+ Improving Visual Representation Learning through Perceptual Understanding 2022 Samyakh Tukra
Frederick L. Hoffman
Ken Chatfield
+ PDF Chat Improving Visual Representation Learning Through Perceptual Understanding 2023 Samyakh Tukra
Frederick L. Hoffman
Ken Chatfield

Works Cited by This (0)

Action Title Year Authors