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Large-Scale Historical Watermark Recognition: dataset and a new
  consistency-based approach

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach

27 August 2019
Xi Shen
Ilaria Pastrolin
Oumayma Bounou
Spyros Gidaris
Marc Smith
Olivier Poncet
Mathieu Aubry
ArXivPDFHTML

Papers citing "Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach"

30 / 30 papers shown
Title
Approximating CNNs with Bag-of-local-Features models works surprisingly
  well on ImageNet
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel
Matthias Bethge
SSL
FAtt
84
561
0
20 Mar 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
41
87
0
07 Mar 2019
Virtual Training for a Real Application: Accurate Object-Robot Relative
  Localization without Calibration
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
Vianney Loing
Renaud Marlet
Mathieu Aubry
56
23
0
07 Feb 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
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
100
2,666
0
29 Nov 2018
Neighbourhood Consensus Networks
Neighbourhood Consensus Networks
Ignacio Rocco
Mircea Cimpoi
Relja Arandjelović
Akihiko Torii
Tomas Pajdla
Josef Sivic
78
389
0
24 Oct 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
59
1,130
0
25 Apr 2018
Identifying Cross-Depicted Historical Motifs
Identifying Cross-Depicted Historical Motifs
Vinaychandran Pondenkandath
Michele Alberti
Nicole Eichenberger
Rolf Ingold
Marcus Liwicki
41
13
0
05 Apr 2018
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
Peng Xu
Yongye Huang
Tongtong Yuan
Kaiyue Pang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
Zhanyu Ma
Jun Guo
54
115
0
04 Apr 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
94
677
0
16 Jan 2018
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from
  Synthetic Images
Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images
Mahdi Rad
Markus Oberweger
Vincent Lepetit
3DH
46
131
0
11 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
288
4,047
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 2017
VisDA: The Visual Domain Adaptation Challenge
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
83
800
0
18 Oct 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
65
5
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
291
8,129
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
811
11,894
0
09 Mar 2017
Learning to Remember Rare Events
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALM
CLL
111
364
0
09 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNN
AI4CE
97
1,068
0
02 Mar 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
61
507
0
17 Feb 2017
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
135
1,628
0
27 Sep 2016
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
101
2,006
0
14 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
359
7,319
0
13 Jun 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
166
2,979
0
30 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Francisco Massa
Bryan C. Russell
Mathieu Aubry
3DV
ObjD
101
100
0
08 Dec 2015
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
81
1,840
0
17 Nov 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
97
737
0
21 May 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
164
2,781
0
19 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Unsupervised Discovery of Mid-Level Discriminative Patches
Unsupervised Discovery of Mid-Level Discriminative Patches
Saurabh Singh
Abhinav Gupta
Alexei A. Efros
OCL
78
590
0
14 May 2012
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