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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXivPDFHTML

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

34 / 584 papers shown
Title
ShiftCNN: Generalized Low-Precision Architecture for Inference of
  Convolutional Neural Networks
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
Denis A. Gudovskiy
Luca Rigazio
MQ
19
52
0
07 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
29
95
0
07 Jun 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on
  Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar
Hesham Mostafa
Enrico Calabrese
A. Rios-Navarro
Ricardo Tapiador-Morales
...
Moritz B. Milde
Federico Corradi
A. Linares-Barranco
Shih-Chii Liu
T. Delbruck
80
242
0
05 Jun 2017
Federated Multi-Task Learning
Federated Multi-Task Learning
Virginia Smith
Chao-Kai Chiang
Maziar Sanjabi
Ameet Talwalkar
FedML
15
1,776
0
30 May 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
20
479
0
24 May 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on
  Video Data
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
Lukas Cavigelli
Philippe Degen
Luca Benini
BDL
17
51
0
14 Apr 2017
Towards thinner convolutional neural networks through Gradually Global
  Pruning
Towards thinner convolutional neural networks through Gradually Global Pruning
Z. Wang
Ce Zhu
Zhiqiang Xia
Qi Guo
Yipeng Liu
CVBM
14
4
0
29 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang
Danlu Chen
Tianhong Li
Felix Wu
L. V. D. van der Maaten
Kilian Q. Weinberger
VLM
24
137
0
29 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
18
288
0
25 Mar 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded
  Vision
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Amr Suleiman
Yu-hsin Chen
J. Emer
Vivienne Sze
24
56
0
17 Mar 2017
Deep Convolutional Neural Network Inference with Floating-point Weights
  and Fixed-point Activations
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Liangzhen Lai
Naveen Suda
Vikas Chandra
MQ
28
85
0
08 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation
  and Face Alignment with Limited Resources
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM
3DV
24
190
0
02 Mar 2017
ShaResNet: reducing residual network parameter number by sharing weights
ShaResNet: reducing residual network parameter number by sharing weights
Alexandre Boulch
24
26
0
28 Feb 2017
RNN Decoding of Linear Block Codes
RNN Decoding of Linear Block Codes
Eliya Nachmani
Elad Marciano
D. Burshtein
Yair Be’ery
AI4CE
72
87
0
24 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
319
1,049
0
10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
31
502
0
03 Feb 2017
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded
  Devices
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices
Wenjia Meng
Zonghua Gu
Ming Zhang
Zhaohui Wu
24
36
0
02 Jan 2017
Hardware for Machine Learning: Challenges and Opportunities
Hardware for Machine Learning: Challenges and Opportunities
Vivienne Sze
Yu-hsin Chen
Joel S. Einer
Amr Suleiman
Zhengdong Zhang
14
77
0
22 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
22
191
0
05 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
54
1,035
0
04 Dec 2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen
Shuchang Zhou
Zhe Liang
Yuxiang Zhang
Dieqiao Feng
Xinyu Zhou
Cong Yao
MQ
SSeg
31
10
0
01 Dec 2016
Deep Cuboid Detection: Beyond 2D Bounding Boxes
Deep Cuboid Detection: Beyond 2D Bounding Boxes
Debidatta Dwibedi
Tomasz Malisiewicz
Vijay Badrinarayanan
Andrew Rabinovich
24
18
0
30 Nov 2016
Fast Video Classification via Adaptive Cascading of Deep Models
Fast Video Classification via Adaptive Cascading of Deep Models
Haichen Shen
Seungyeop Han
Matthai Philipose
Arvind Krishnamurthy
26
78
0
20 Nov 2016
Accelerating Deep Convolutional Networks using low-precision and
  sparsity
Accelerating Deep Convolutional Networks using low-precision and sparsity
Ganesh Venkatesh
Eriko Nurvitadhi
Debbie Marr
26
135
0
02 Oct 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Naresh Boddeti
Marios Savvides
MQ
20
251
0
22 Aug 2016
Local Feature Detectors, Descriptors, and Image Representations: A
  Survey
Local Feature Detectors, Descriptors, and Image Representations: A Survey
Yusuke Uchida
25
13
0
28 Jul 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
24
74
0
12 Jul 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
15
196
0
17 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
33
11
0
08 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo-Wen Zhang
Junchi Yan
MQ
29
520
0
16 May 2016
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
35
562
0
13 Nov 2015
Computational Cost Reduction in Learned Transform Classifications
Computational Cost Reduction in Learned Transform Classifications
E. Machado
C. Miosso
R. V. Borries
Murilo Coutinho
P. Berger
Thiago Marques
R. Jacobi
30
3
0
26 Apr 2015
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