Adjustable Bounded Rectifiers: Towards Deep Binary Representations

19 November 2015

Papers citing "Adjustable Bounded Rectifiers: Towards Deep Binary Representations"

11 / 11 papers shown

Title
DehazeNet: An End-to-End System for Single Image Haze Removal Bolun Cai Xiangmin Xu Kui Jia Chunmei Qing Dacheng Tao 190 2,433 0 28 Jan 2016
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 209 2,985 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 255 8,842 0 01 Oct 2015
A Deep Hashing Learning Network G. Zhong Pan Yang Sijiang Wang Junyu Dong 20 5 0 16 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 323 18,613 0 06 Feb 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 137 1,283 0 22 Dec 2014
Automatic Discovery and Optimization of Parts for Image Classification S. N. Parizi Andrea Vedaldi Andrew Zisserman Pedro F. Felzenszwalb OCL 57 59 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit Agrawal Ross B. Girshick Jitendra Malik SSL 110 444 0 07 Jul 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 274 14,710 0 20 Jun 2014