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A Data Set and a Convolutional Model for Iconography Classification in
  Paintings

A Data Set and a Convolutional Model for Iconography Classification in Paintings

6 October 2020
Federico Milani
Piero Fraternali
ArXivPDFHTML

Papers citing "A Data Set and a Convolutional Model for Iconography Classification in Paintings"

28 / 28 papers shown
Title
Multiple instance learning on deep features for weakly supervised object
  detection with extreme domain shifts
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
Nicolas Gonthier
Saïd Ladjal
Y. Gousseau
WSOD
48
28
0
03 Aug 2020
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique
  for Deep Convolutional Neural Network Models
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
Daniel Omeiza
Skyler Speakman
C. Cintas
Komminist Weldemariam
FAtt
46
217
0
03 Aug 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel
  Relations
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn
Sunghyun Cho
Suha Kwak
ISeg
SSeg
139
541
0
10 Apr 2019
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
38
86
0
07 Mar 2019
Multitask Painting Categorization by Deep Multibranch Neural Network
Multitask Painting Categorization by Deep Multibranch Neural Network
Simone Bianco
Davide Mazzini
Paolo Napoletano
Raimondo Schettini
42
41
0
19 Dec 2018
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity
  Fields
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao
Gines Hidalgo
Tomas Simon
S. Wei
Yaser Sheikh
3DH
CVBM
112
4,554
0
18 Dec 2018
Weakly Supervised Object Detection in Artworks
Weakly Supervised Object Detection in Artworks
Nicolas Gonthier
Y. Gousseau
Saïd Ladjal
Olivier Bonfait
ObjD
24
70
0
05 Oct 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
146
2,438
0
06 Sep 2018
Label Refinery: Improving ImageNet Classification through Label
  Progression
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad
Maxwell Horton
Mohammad Rastegari
Ali Farhadi
42
190
0
07 May 2018
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the
  Stroke Level for Attribution and Authentication
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication
Ahmed Elgammal
Yan Kang
M. D. Leeuw
16
49
0
08 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
93
2,280
0
30 Oct 2017
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
Gjorgji Strezoski
Marcel Worring
33
73
0
02 Aug 2017
BAM! The Behance Artistic Media Dataset for Recognition Beyond
  Photography
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
Michael J. Wilber
Chen Fang
Hailin Jin
Aaron Hertzmann
John Collomosse
Serge J. Belongie
47
136
0
27 Apr 2017
Detecting People in Artwork with CNNs
Detecting People in Artwork with CNNs
Nicholas Westlake
Hongping Cai
Peter Hall
ObjD
21
74
0
27 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
230
19,796
0
07 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
409
8,999
0
10 Jun 2016
Pandora: Description of a Painting Database for Art Movement Recognition
  with Baselines and Perspectives
Pandora: Description of a Painting Database for Art Movement Recognition with Baselines and Perspectives
C. Florea
R. Condorovici
C. Vertan
Raluca Butnaru
L. Florea
Ruxandra Vrânceanu
29
38
0
29 Feb 2016
Large age-gap face verification by feature injection in deep networks
Large age-gap face verification by feature injection in deep networks
Simone Bianco
CVBM
45
86
0
19 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
196
9,280
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Large-scale Classification of Fine-Art Paintings: Learning The Right
  Metric on The Right Feature
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh
Ahmed Elgammal
49
288
0
05 May 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
48
44
0
01 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
284
24,976
0
30 Apr 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
198
4,653
0
21 Dec 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
169
8,309
0
06 Nov 2014
Detecting People in Cubist Art
Detecting People in Cubist Art
Shiry Ginosar
D. Haas
T. Brown
Jitendra Malik
46
48
0
22 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
299
43,290
0
01 May 2014
Recognizing Image Style
Recognizing Image Style
Sergey Karayev
Matthew Trentacoste
Helen Han
A. Agarwala
Trevor Darrell
Aaron Hertzmann
Holger Winnemoeller
62
459
0
15 Nov 2013
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