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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
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Papers citing "Deep Residual Learning for Image Recognition"

50 / 24,560 papers shown
Title
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
13
55
0
06 Apr 2016
A Focused Dynamic Attention Model for Visual Question Answering
A Focused Dynamic Attention Model for Visual Question Answering
Ilija Ilievski
Shuicheng Yan
Jiashi Feng
25
122
0
06 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
29
91
0
05 Apr 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
23
802
0
05 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
12
1,704
0
02 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
74
2,336
0
30 Mar 2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks
  with Symmetric Skip Connections
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
13
85
0
30 Mar 2016
Rich Image Captioning in the Wild
Rich Image Captioning in the Wild
Kenneth Tran
Xiaodong He
Lei Zhang
Jian Sun
Cornelia Carapcea
Chris Thrasher
Chris Buehler
Chris Sienkiewicz
VLM
19
123
0
30 Mar 2016
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation
  with Deep Gaussian CRFs
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra
Iasonas Kokkinos
11
187
0
28 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
39
10,160
0
27 Mar 2016
Pointing the Unknown Words
Pointing the Unknown Words
Çağlar Gülçehre
Sungjin Ahn
Ramesh Nallapati
Bowen Zhou
Yoshua Bengio
13
524
0
26 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
14
806
0
25 Mar 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
17
221
0
24 Mar 2016
Semantic Object Parsing with Graph LSTM
Semantic Object Parsing with Graph LSTM
Xiaodan Liang
Xiaohui Shen
Jiashi Feng
Liang Lin
Shuicheng Yan
27
354
0
23 Mar 2016
Frankenstein: Learning Deep Face Representations using Small Data
Frankenstein: Learning Deep Face Representations using Small Data
Guosheng Hu
Xiaojiang Peng
Yongxin Yang
Timothy M. Hospedales
Jakob Verbeek
CVBM
74
122
0
21 Mar 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
V. Li
56
1,533
0
21 Mar 2016
Towards Automatic Wild Animal Monitoring: Identification of Animal
  Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alex Gomez-Villa
Augusto Salazar
J. Vargas-Bonilla
26
299
0
20 Mar 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
G. Urban
Krzysztof J. Geras
Samira Ebrahimi Kahou
Ozlem Aslan
Shengjie Wang
R. Caruana
Abdel-rahman Mohamed
Matthai Philipose
Matthew Richardson
20
47
0
17 Mar 2016
"What happens if..." Learning to Predict the Effect of Forces in Images
"What happens if..." Learning to Predict the Effect of Forces in Images
Roozbeh Mottaghi
Mohammad Rastegari
Abhinav Gupta
Ali Farhadi
OOD
31
123
0
17 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
54
4,331
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
16
10,125
0
16 Mar 2016
Deep Fully-Connected Networks for Video Compressive Sensing
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
15
194
0
16 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
Huan Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
24
41
0
15 Mar 2016
Exploratory Gradient Boosting for Reinforcement Learning in Complex
  Domains
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel
Alekh Agarwal
Fernando Diaz
A. Krishnamurthy
Robert Schapire
OffRL
71
43
0
14 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chia-Ju Chen
21
176
0
05 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
27
298
0
03 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
43
1,219
0
03 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
24
425
0
03 Mar 2016
Automatic learning of gait signatures for people identification
Automatic learning of gait signatures for people identification
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
N. P. D. L. Blanca
CVBM
19
96
0
03 Mar 2016
Learning Functions: When Is Deep Better Than Shallow
Learning Functions: When Is Deep Better Than Shallow
H. Mhaskar
Q. Liao
T. Poggio
30
144
0
03 Mar 2016
Scalable Metric Learning via Weighted Approximate Rank Component
  Analysis
Scalable Metric Learning via Weighted Approximate Rank Component Analysis
C. Jose
F. Fleuret
26
141
0
01 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
20
39
0
01 Mar 2016
Scalable and Sustainable Deep Learning via Randomized Hashing
Scalable and Sustainable Deep Learning via Randomized Hashing
Ryan Spring
Anshumali Shrivastava
23
132
0
26 Feb 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for
  Commodity Clusters
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
Hanjoo Kim
Jaehong Park
Jaehee Jang
Sungroh Yoon
BDL
32
37
0
26 Feb 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
93
1,924
0
25 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
107
14,137
0
23 Feb 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
45
1,479
0
14 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
19
323
0
11 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
20
363
0
08 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
266
2,550
0
25 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
29
7
0
25 Jan 2016
Improved graph-based SFA: Information preservation complements the
  slowness principle
Improved graph-based SFA: Information preservation complements the slowness principle
Alberto N. Escalante
Laurenz Wiskott
16
16
0
15 Jan 2016
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
34
75
0
24 Dec 2015
A Mathematical Theory of Deep Convolutional Neural Networks for Feature
  Extraction
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski
Helmut Bölcskei
FAtt
34
363
0
19 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric
  Learning with Humans in the Loop
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Huayu Chen
Feng Zhou
Yuanqing Lin
Serge J. Belongie
20
236
0
16 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
44
1,225
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
41
1,205
0
14 Dec 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
27
604
0
19 Nov 2015
Better Computer Go Player with Neural Network and Long-term Prediction
Better Computer Go Player with Neural Network and Long-term Prediction
Yuandong Tian
Yan Zhu
AI4CE
29
86
0
19 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
35
809
0
19 Nov 2015
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