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A deep learning approach to clustering visual arts

A deep learning approach to clustering visual arts

11 June 2021
Giovanna Castellano
G. Vessio
ArXivPDFHTML

Papers citing "A deep learning approach to clustering visual arts"

19 / 19 papers shown
Title
GCNBoost: Artwork Classification by Label Propagation through a
  Knowledge Graph
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
Cheikh Brahim El Vaigh
Noa Garcia
B. Renoust
Chenhui Chu
Yuta Nakashima
Hajime Nagahara
19
24
0
25 May 2021
Deep convolutional embedding for digitized painting clustering
Deep convolutional embedding for digitized painting clustering
Giovanna Castellano
G. Vessio
48
11
0
19 Mar 2020
Discovering Visual Patterns in Art Collections with Spatially-consistent
  Feature Learning
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
Xi Shen
Alexei A. Efros
Mathieu Aubry
SSL
29
86
0
07 Mar 2019
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware
  Image-to-Image Translation
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
Matteo Tomei
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
DiffM
73
76
0
26 Nov 2018
How to Read Paintings: Semantic Art Understanding with Multi-Modal
  Retrieval
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
Noa Garcia
George Vogiatzis
18
102
0
23 Oct 2018
Weakly Supervised Object Detection in Artworks
Weakly Supervised Object Detection in Artworks
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
Olivier Bonfait
ObjD
17
70
0
05 Oct 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
64
9,312
0
09 Feb 2018
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
Gjorgji Strezoski
Marcel Worring
14
73
0
02 Aug 2017
CAN: Creative Adversarial Networks, Generating "Art" by Learning About
  Styles and Deviating from Style Norms
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
Ahmed Elgammal
Bingchen Liu
Mohamed Elhoseiny
Marian Mazzone
GAN
21
464
0
21 Jun 2017
Detecting People in Artwork with CNNs
Detecting People in Artwork with CNNs
Nicholas Westlake
Hongping Cai
Peter Hall
ObjD
11
74
0
27 Oct 2016
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
28
868
0
15 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
432
36,599
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
671
192,638
0
10 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
29
2,844
0
19 Nov 2015
The Cross-Depiction Problem: Computer Vision Algorithms for Recognising
  Objects in Artwork and in Photographs
The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs
Hongping Cai
Qi Wu
Tadeo Corradi
Peter Hall
23
44
0
01 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
365
99,915
0
04 Sep 2014
Toward Automated Discovery of Artistic Influence
Toward Automated Discovery of Artistic Influence
Babak Saleh
Kanako Abe
Ravneet Arora
Ahmed Elgammal
31
86
0
14 Aug 2014
Recognizing Image Style
Recognizing Image Style
Sergey Karayev
Matthew Trentacoste
Helen Han
A. Agarwala
Trevor Darrell
Aaron Hertzmann
Holger Winnemoeller
32
459
0
15 Nov 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
84
12,370
0
24 Jun 2012
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