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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
Sequential Deep Trajectory Descriptor for Action Recognition with
  Three-stream CNN
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
96
192
0
10 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
770
29,279
0
09 Sep 2016
Reduced Memory Region Based Deep Convolutional Neural Network Detection
Reduced Memory Region Based Deep Convolutional Neural Network Detection
Denis Tomè
Luca Bondi
Emanuele Plebani
L. Baroffio
D. Pau
Stefano Tubaro
59
11
0
08 Sep 2016
Fitted Learning: Models with Awareness of their Limits
Fitted Learning: Models with Awareness of their Limits
Navid Kardan
Kenneth O. Stanley
CLL
79
16
0
07 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSegSSL
153
677
0
07 Sep 2016
Clearing the Skies: A deep network architecture for single-image rain
  removal
Clearing the Skies: A deep network architecture for single-image rain removal
Xueyang Fu
Jiabin Huang
Xinghao Ding
Yinghao Liao
John Paisley
124
782
0
07 Sep 2016
Human pose estimation via Convolutional Part Heatmap Regression
Human pose estimation via Convolutional Part Heatmap Regression
Adrian Bulat
Georgios Tzimiropoulos
3DH
104
520
0
06 Sep 2016
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep
  Learning Model
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
Sheng Wang
S. Sun
Zerui Li
Renyu Zhang
Jinbo Xu
97
825
0
02 Sep 2016
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization
  Techniques
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
Elad Richardson
Rom Herskovitz
Boris Ginsburg
M. Zibulevsky
68
11
0
02 Sep 2016
Weakly Supervised PatchNets: Describing and Aggregating Local Patches
  for Scene Recognition
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
Zhe Wang
Limin Wang
Yali Wang
Bowen Zhang
Yu Qiao
93
82
0
01 Sep 2016
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
126
955
0
31 Aug 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
248
3,708
0
31 Aug 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OODSSegVLMSSL
111
676
0
30 Aug 2016
Multi-Class Multi-Object Tracking using Changing Point Detection
Multi-Class Multi-Object Tracking using Changing Point Detection
Byungjae Lee
Enkhbayar Erdenee
SongGuo Jin
P. Rhee
VOT
57
25
0
30 Aug 2016
PVANET: Deep but Lightweight Neural Networks for Real-time Object
  Detection
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
Kye-Hyeon Kim
Sanghoon Hong
Byungseok Roh
Yeongjae Cheon
Minje Park
ObjDVLM
91
208
0
29 Aug 2016
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
Xiaojie Jin
Yunpeng Chen
Jiashi Feng
Zequn Jie
Shuicheng Yan
84
32
0
27 Aug 2016
A Boundary Tilting Persepective on the Phenomenon of Adversarial
  Examples
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples
T. Tanay
Lewis D. Griffin
AAML
103
272
0
27 Aug 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
Benchmarking State-of-the-Art Deep Learning Software Tools
Shaoshuai Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
BDL
135
330
0
25 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
1.1K
36,992
0
25 Aug 2016
Fathom: Reference Workloads for Modern Deep Learning Methods
Fathom: Reference Workloads for Modern Deep Learning Methods
Robert Adolf
Saketh Rama
Brandon Reagen
Gu-Yeon Wei
David Brooks
56
183
0
23 Aug 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
MQ
80
253
0
22 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
104
120
0
22 Aug 2016
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain
  Segmentation
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation
Hao Chen
Qi Dou
Lequan Yu
Pheng-Ann Heng
86
140
0
21 Aug 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
81
829
0
18 Aug 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
97
46
0
17 Aug 2016
Frame- and Segment-Level Features and Candidate Pool Evaluation for
  Video Caption Generation
Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation
Rakshith Shetty
Jorma T. Laaksonen
80
94
0
17 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
290
8,604
0
16 Aug 2016
Dynamic Network Surgery for Efficient DNNs
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
95
1,060
0
16 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel
  Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Min Wang
Baoyuan Liu
H. Foroosh
66
51
0
15 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
96
585
0
15 Aug 2016
Face Alignment In-the-Wild: A Survey
Face Alignment In-the-Wild: A Survey
Xin Jin
Xiaoyang Tan
CVBM
69
116
0
15 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
92
1,049
0
14 Aug 2016
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Zhangyang Wang
Shiyu Chang
Qing Ling
Shuai Huang
Helen Zhou
Honghui Shi
Thomas S. Huang
BDL
119
2
0
14 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
367
8,207
0
13 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
193
7,059
0
13 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
237
2,346
0
12 Aug 2016
Faster Training of Very Deep Networks Via p-Norm Gates
Faster Training of Very Deep Networks Via p-Norm Gates
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
AI4CE
49
19
0
11 Aug 2016
Solving Visual Madlibs with Multiple Cues
Solving Visual Madlibs with Multiple Cues
Tatiana Tommasi
Arun Mallya
Bryan A. Plummer
Svetlana Lazebnik
Alexander C. Berg
Tamara L. Berg
85
18
0
11 Aug 2016
Hierarchical Character-Word Models for Language Identification
Hierarchical Character-Word Models for Language Identification
Aaron Jaech
George Mulcaire
Shobhit Hathi
Mari Ostendorf
Noah A. Smith
67
43
0
10 Aug 2016
Mining Fashion Outfit Composition Using An End-to-End Deep Learning
  Approach on Set Data
Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data
Y. Li
Liangliang Cao
Jiang Zhu
Jiebo Luo
91
189
0
10 Aug 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
79
120
0
09 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
101
310
0
09 Aug 2016
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
M. Al-Shabi
W. Cheah
M. G. K. Ong
CVBM
77
126
0
09 Aug 2016
Convolutional Oriented Boundaries
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbelaez
Luc Van Gool
67
233
0
09 Aug 2016
Discriminatively Trained Latent Ordinal Model for Video Classification
Discriminatively Trained Latent Ordinal Model for Video Classification
Karan Sikka
Gaurav Sharma
55
11
0
08 Aug 2016
Deep Learning a Grasp Function for Grasping under Gripper Pose
  Uncertainty
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns
Stefan Leutenegger
Andrew J. Davison
OOD
80
259
0
07 Aug 2016
Bootstrapping Face Detection with Hard Negative Examples
Bootstrapping Face Detection with Hard Negative Examples
Shaohua Wan
Zhijun Chen
Zhang Tao
Bo Zhang
Kong-kat Wong
CVBMObjD
91
60
0
07 Aug 2016
Fusing Deep Convolutional Networks for Large Scale Visual Concept
  Classification
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification
H. Ergun
M. Sert
46
9
0
05 Aug 2016
SIFT Meets CNN: A Decade Survey of Instance Retrieval
SIFT Meets CNN: A Decade Survey of Instance Retrieval
Liang Zheng
Yi Yang
Q. Tian
93
699
0
05 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
90
108
0
05 Aug 2016
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