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

27 August 2019

Xi Shen

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 Wieland Brendel Matthias Bethge SSL FAtt 79 561 0 20 Mar 2019
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 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 Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 98 2,666 0 29 Nov 2018
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 Spyros Gidaris N. Komodakis VLM 59 1,130 0 25 Apr 2018
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 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 Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 92 677 0 16 Jan 2018
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 Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 283 4,047 0 16 Nov 2017
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 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 Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 65 5 0 12 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 289 8,129 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,894 0 09 Mar 2017
Learning to Remember Rare Events Lukasz Kaiser Ofir Nachum Aurko Roy Samy Bengio RALM CLL 111 364 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 95 1,068 0 02 Mar 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey G. Csurka OOD 61 507 0 17 Feb 2017
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 130 1,628 0 27 Sep 2016
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 99 2,006 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 355 7,316 0 13 Jun 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 163 2,979 0 30 Mar 2016
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 Francisco Massa Bryan C. Russell Mathieu Aubry 3DV ObjD 101 100 0 08 Dec 2015
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 79 1,840 0 17 Nov 2015
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 Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,781 0 19 May 2015
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 Saurabh Singh Abhinav Gupta Alexei A. Efros OCL 78 590 0 14 May 2012