SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition

29 July 2016

Papers citing "SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition"

8 / 8 papers shown

Title
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.5K 192,638 0 10 Dec 2015
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
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 164 8,309 0 06 Nov 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 221 5,990 0 26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 217 14,703 0 20 Jun 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 243 6,267 0 16 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 389 15,825 0 12 Nov 2013