Input Fast-Forwarding for Better Deep Learning

23 May 2017

Papers citing "Input Fast-Forwarding for Better Deep Learning"

10 / 10 papers shown

Title
An Image Dataset of Text Patches in Everyday Scenes A. Ibrahim A. L. Abbott Mohamed E. Hussein 3DV 32 3 0 20 Oct 2016
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images Andreas Veit Tomas Matera Lukás Neumann Jirí Matas Serge J. Belongie 279 530 0 26 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 137 3,495 0 24 Apr 2015
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 135 1,849 0 03 Oct 2014
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 350 2,243 0 18 Sep 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 485 43,694 0 17 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 280 14,712 0 20 Jun 2014
From Maxout to Channel-Out: Encoding Information on Sparse Pathways Qi Wang Joseph Jaja BDL 74 14 0 18 Nov 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks Matthew D. Zeiler Rob Fergus 193 989 0 16 Jan 2013