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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 38,261 papers shown
Title
Deep Transfer Learning for Person Re-identification
Deep Transfer Learning for Person Re-identification
Mengyue Geng
Yaowei Wang
Tao Xiang
Yonghong Tian
138
307
0
16 Nov 2016
Learning long-term dependencies for action recognition with a
  biologically-inspired deep network
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
123
64
0
16 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL3DVBDL
80
13
0
16 Nov 2016
Will People Like Your Image? Learning the Aesthetic Space
Will People Like Your Image? Learning the Aesthetic Space
Katharina Schwarz
P. Wieschollek
Hendrik P. A. Lensch
82
49
0
16 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Daniel Cremers
Luc Van Gool
VOS
83
917
0
16 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDLDRL
121
736
0
16 Nov 2016
S3Pool: Pooling with Stochastic Spatial Sampling
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai
Hui Wu
Abhishek Kumar
Yu Cheng
Y. Lu
Zhongfei Zhang
Rogerio Feris
58
79
0
16 Nov 2016
Designing Energy-Efficient Convolutional Neural Networks using
  Energy-Aware Pruning
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang
Yu-hsin Chen
Vivienne Sze
3DV
122
743
0
16 Nov 2016
A Way out of the Odyssey: Analyzing and Combining Recent Insights for
  LSTMs
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs
Shayne Longpre
Sabeek Pradhan
Caiming Xiong
R. Socher
VLMAI4TS
71
10
0
16 Nov 2016
Learning a Deep Embedding Model for Zero-Shot Learning
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang
Tao Xiang
S. Gong
SyDaVLM
173
705
0
15 Nov 2016
Learning Detailed Face Reconstruction from a Single Image
Learning Detailed Face Reconstruction from a Single Image
Elad Richardson
Matan Sela
Roy Or-El
Ron Kimmel
3DV3DHCVBM
91
340
0
15 Nov 2016
OctNet: Learning Deep 3D Representations at High Resolutions
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler
Ali O. Ulusoy
Andreas Geiger
3DV3DPC
269
1,482
0
15 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts
  Reduction
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo
Hongyang Chao
89
89
0
15 Nov 2016
Deeply supervised salient object detection with short connections
Deeply supervised salient object detection with short connections
Qibin Hou
Ming-Ming Cheng
Xiao-Wei Hu
Ali Borji
Zhuowen Tu
Philip Torr
114
1,335
0
15 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
143
776
0
15 Nov 2016
When Saliency Meets Sentiment: Understanding How Image Content Invokes
  Emotion and Sentiment
When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment
Honglin Zheng
Tianlang Chen
Jiebo Luo
35
19
0
14 Nov 2016
How to scale distributed deep learning?
How to scale distributed deep learning?
Peter H. Jin
Qiaochu Yuan
F. Iandola
Kurt Keutzer
3DH
85
137
0
14 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network
  Normalization Schemes
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Mengye Ren
Renjie Liao
R. Urtasun
Fabian H. Sinz
R. Zemel
101
81
0
14 Nov 2016
Joint Graph Decomposition and Node Labeling: Problem, Algorithms,
  Applications
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
Evgeny Levinkov
J. Uhrig
Siyu Tang
Mohamed Omran
Eldar Insafutdinov
Alexander Kirillov
Carsten Rother
Thomas Brox
Bernt Schiele
Bjoern Andres
82
106
0
14 Nov 2016
Character-level Convolutional Network for Text Classification Applied to
  Chinese Corpus
Character-level Convolutional Network for Text Classification Applied to Chinese Corpus
Weijie Huang
Jun Wang
AI4CE
42
24
0
14 Nov 2016
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
84
70
0
14 Nov 2016
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
132
399
0
14 Nov 2016
Convolutional Regression for Visual Tracking
Convolutional Regression for Visual Tracking
Kai Chen
Wenbing Tao
67
50
0
14 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
349
4,588
0
13 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
78
2,128
0
11 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
372
4,639
0
10 Nov 2016
X-ray Scattering Image Classification Using Deep Learning
X-ray Scattering Image Classification Using Deep Learning
Boyu Wang
Kevin Yager
Dantong Yu
Minh Hoai
28
35
0
10 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
83
191
0
10 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
AAML
214
1,744
0
08 Nov 2016
Inferring low-dimensional microstructure representations using
  convolutional neural networks
Inferring low-dimensional microstructure representations using convolutional neural networks
Nicholas Lubbers
T. Lookman
K. Barros
61
109
0
08 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRLSSLGAN
217
676
0
08 Nov 2016
Unsupervised Pretraining for Sequence to Sequence Learning
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
Peter J. Liu
Quoc V. Le
SSLAIMat
126
282
0
08 Nov 2016
The Loss Surface of Residual Networks: Ensembles and the Role of Batch
  Normalization
The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization
Etai Littwin
Lior Wolf
UQCV
167
15
0
08 Nov 2016
A Convolutional Encoder Model for Neural Machine Translation
A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring
Michael Auli
David Grangier
Yann N. Dauphin
114
450
0
07 Nov 2016
Memory-augmented Attention Modelling for Videos
Memory-augmented Attention Modelling for Videos
Rasool Fakoor
Abdel-rahman Mohamed
Margaret Mitchell
S. B. Kang
Pushmeet Kohli
115
20
0
07 Nov 2016
Designing Neural Network Architectures using Reinforcement Learning
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker
O. Gupta
Nikhil Naik
Ramesh Raskar
137
1,472
0
07 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
142
719
0
07 Nov 2016
Fixed-point Factorized Networks
Fixed-point Factorized Networks
Peisong Wang
Jian Cheng
MQ
77
43
0
07 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
82
133
0
07 Nov 2016
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile
  Sensing Data Processing
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
Shuochao Yao
Shaohan Hu
Yiran Zhao
Aston Zhang
Tarek Abdelzaher
HAIAI4TS
103
627
0
07 Nov 2016
AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text
  Classification
AC-BLSTM: Asymmetric Convolutional Bidirectional LSTM Networks for Text Classification
Depeng Liang
Yongdong Zhang
76
23
0
07 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
113
333
0
06 Nov 2016
Deep Label Distribution Learning with Label Ambiguity
Deep Label Distribution Learning with Label Ambiguity
Bin-Bin Gao
Chao Xing
Chen-Wei Xie
Jianxin Wu
Xin Geng
65
432
0
06 Nov 2016
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Ark Anderson
Kyle Shaffer
A. Yankov
Court D. Corley
Nathan Oken Hodas
47
15
0
06 Nov 2016
Boosting Image Captioning with Attributes
Boosting Image Captioning with Attributes
Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
VLM
112
624
0
05 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
563
5,392
0
05 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
243
177
0
04 Nov 2016
Deep Information Propagation
Deep Information Propagation
S. Schoenholz
Justin Gilmer
Surya Ganguli
Jascha Narain Sohl-Dickstein
119
371
0
04 Nov 2016
Demystifying ResNet
Demystifying ResNet
Sihan Li
Jiantao Jiao
Yanjun Han
Tsachy Weissman
76
38
0
03 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan
Michael J. Black
3DPC
127
1,221
0
03 Nov 2016
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