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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
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
36
1,286
0
03 Nov 2017
End-to-end Flow Correlation Tracking with Spatial-temporal Attention
End-to-end Flow Correlation Tracking with Spatial-temporal Attention
Zheng Zhu
Wei Wu
Wei Zou
Junjie Yan
38
264
0
03 Nov 2017
Expressive power of recurrent neural networks
Expressive power of recurrent neural networks
Valentin Khrulkov
Alexander Novikov
Ivan Oseledets
21
112
0
02 Nov 2017
Efficient Training of Convolutional Neural Nets on Large Distributed
  Systems
Efficient Training of Convolutional Neural Nets on Large Distributed Systems
Sameer Kumar
D. Sreedhar
Vaibhav Saxena
Yogish Sabharwal
Ashish Verma
35
4
0
02 Nov 2017
Adversarial Learning of Structure-Aware Fully Convolutional Networks for
  Landmark Localization
Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization
Yu Chen
Chunhua Shen
Hao Chen
Xiu-Shen Wei
Lingqiao Liu
Jian Yang
GAN
19
42
0
01 Nov 2017
Minimum Energy Quantized Neural Networks
Minimum Energy Quantized Neural Networks
Bert Moons
Koen Goetschalckx
Nick Van Berckelaer
Marian Verhelst
MQ
28
123
0
01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
31
231
0
01 Nov 2017
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
A. Friesen
Pedro M. Domingos
26
20
0
31 Oct 2017
Clothing Retrieval with Visual Attention Model
Clothing Retrieval with Visual Attention Model
Zhonghao Wang
Yujun Gu
Ya Zhang
Jun Zhou
Xiao Gu
3DH
24
51
0
31 Oct 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep
  Reinforcement Learning
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar
Tim Rocktaschel
Maximilian Igl
Shimon Whiteson
OffRL
22
71
0
31 Oct 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
38
596
0
31 Oct 2017
How deep learning works --The geometry of deep learning
How deep learning works --The geometry of deep learning
Xiao Dong
Jiasong Wu
Ling Zhou
GNN
35
8
0
30 Oct 2017
Cascade Region Proposal and Global Context for Deep Object Detection
Cascade Region Proposal and Global Context for Deep Object Detection
Qiaoyong Zhong
Chao Li
Yingying Zhang
Di Xie
Shicai Yang
Shiliang Pu
ObjD
26
55
0
30 Oct 2017
Evolving Deep Convolutional Neural Networks for Image Classification
Evolving Deep Convolutional Neural Networks for Image Classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
ODL
35
568
0
30 Oct 2017
Certifying Some Distributional Robustness with Principled Adversarial
  Training
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha
Hongseok Namkoong
Riccardo Volpi
John C. Duchi
OOD
43
854
0
29 Oct 2017
Learning to diagnose from scratch by exploiting dependencies among
  labels
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
30
332
0
28 Oct 2017
Deep Residual Learning for Small-Footprint Keyword Spotting
Deep Residual Learning for Small-Footprint Keyword Spotting
Raphael Tang
Jimmy J. Lin
17
234
0
28 Oct 2017
Knowledge Projection for Deep Neural Networks
Knowledge Projection for Deep Neural Networks
Zhi Zhang
G. Ning
Zhihai He
38
15
0
26 Oct 2017
Serving deep learning models in a serverless platform
Serving deep learning models in a serverless platform
Vatche Isahagian
Vinod Muthusamy
Aleksander Slominski
16
169
0
23 Oct 2017
Listening to the World Improves Speech Command Recognition
Listening to the World Improves Speech Command Recognition
B. McMahan
D. Rao
26
38
0
23 Oct 2017
Progressive Learning for Systematic Design of Large Neural Networks
Progressive Learning for Systematic Design of Large Neural Networks
S. Chatterjee
Alireza M. Javid
M. Sadeghi
P. Mitra
Mikael Skoglund
AI4CE
ODL
22
27
0
23 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick
Learning Discrete Weights Using the Local Reparameterization Trick
Oran Shayer
Dan Levi
Ethan Fetaya
21
88
0
21 Oct 2017
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural
  Networks
Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks
Matthew Ragoza
Lillian Turner
D. Koes
32
16
0
20 Oct 2017
Enhancing the Performance of Convolutional Neural Networks on Quality
  Degraded Datasets
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets
Jonghwa Yim
Kyung-ah Sohn
29
54
0
18 Oct 2017
Material Classification using Neural Networks
Material Classification using Neural Networks
Anca Sticlaru
11
4
0
17 Oct 2017
Scene Parsing with Global Context Embedding
Scene Parsing with Global Context Embedding
Wei-Chih Hung
Yi-Hsuan Tsai
Xiaohui Shen
Zhe-nan Lin
Kalyan Sunkavalli
Xin Lu
Ming-Hsuan Yang
16
54
0
17 Oct 2017
Single Shot Temporal Action Detection
Single Shot Temporal Action Detection
Tianwei Lin
Xu Zhao
Zheng Shou
36
451
0
17 Oct 2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet
  Core55
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
L. Yi
Lin Shao
Manolis Savva
Haibin Huang
Yang Zhou
...
Silvio Savarese
Pat Hanrahan
Thomas Funkhouser
Hao Su
Leonidas J. Guibas
3DV
28
66
0
17 Oct 2017
Boosting Adversarial Attacks with Momentum
Boosting Adversarial Attacks with Momentum
Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
AAML
26
83
0
17 Oct 2017
Isointense Infant Brain Segmentation with a Hyper-dense Connected
  Convolutional Neural Network
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural Network
Jose Dolz
Ismail Ben Ayed
Jing Yuan
Christian Desrosiers
24
10
0
16 Oct 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed
  Autonomous Navigation
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao
David Hsu
Wee Sun Lee
Shengmei Shen
K. Subramanian
13
116
0
16 Oct 2017
A multi-branch convolutional neural network for detecting double JPEG
  compression
A multi-branch convolutional neural network for detecting double JPEG compression
Bin Li
Hu Luo
Haoxin Zhang
Shunquan Tan
Zhongzhou Ji
27
28
0
16 Oct 2017
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Roberto Calandra
Andrew Owens
M. Upadhyaya
Wenzhen Yuan
Justin Lin
Edward H. Adelson
Sergey Levine
32
190
0
16 Oct 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej Mazurowski
44
2,317
0
15 Oct 2017
CNNComparator: Comparative Analytics of Convolutional Neural Networks
CNNComparator: Comparative Analytics of Convolutional Neural Networks
Haipeng Zeng
Hammad Haleem
Xavier Plantaz
Nan Cao
Huamin Qu
22
31
0
15 Oct 2017
Efficient Computation in Adaptive Artificial Spiking Neural Networks
Efficient Computation in Adaptive Artificial Spiking Neural Networks
Davide Zambrano
Roeland Nusselder
H. Scholte
S. Bohté
20
22
0
13 Oct 2017
Recent Advances in Zero-shot Recognition
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDL
VLM
16
175
0
13 Oct 2017
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling
  Localization via Fully Convolutional Networks for Solar Panels
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
Sachin Mehta
A. Azad
Saneem A. Chemmengath
V. Raykar
S. Kalyanaraman
30
81
0
10 Oct 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
90
1,764
0
10 Oct 2017
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text
  Recognition
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
Chun Yang
Xu-Cheng Yin
Zejun Li
Jianwei Wu
Chunchao Guo
Hongfa Wang
Lei Xiao
18
10
0
10 Oct 2017
Iterative PET Image Reconstruction Using Convolutional Neural Network
  Representation
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Kuang Gong
Jiahui Guan
Kyungsang Kim
Xuezhu Zhang
G. El Fakhri
J. Qi
Quanzheng Li
MedIm
24
221
0
09 Oct 2017
Person Recognition in Personal Photo Collections
Person Recognition in Personal Photo Collections
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
CVBM
332
9
0
09 Oct 2017
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Ke Zhang
Ce Gao
Liru Guo
Miao Sun
Xingfang Yuan
T. Han
Zhenbing Zhao
Baogang Li
CVBM
14
113
0
09 Oct 2017
OSU Multimodal Machine Translation System Report
OSU Multimodal Machine Translation System Report
Mingbo Ma
Dapeng Li
Kai Zhao
Liang Huang
35
15
0
07 Oct 2017
Can Machines Think in Radio Language?
Can Machines Think in Radio Language?
Yujian Li
AI4CE
LRM
14
1
0
07 Oct 2017
Socially Compliant Navigation through Raw Depth Inputs with Generative
  Adversarial Imitation Learning
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
L. Tai
Jingwei Zhang
Ming-Yu Liu
Wolfram Burgard
GAN
19
176
0
06 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational
  Inference
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei Huang
Ahmed Touati
Laurent Dinh
M. Drozdzal
Mohammad Havaei
Laurent Charlin
Aaron Courville
BDL
DRL
33
28
0
06 Oct 2017
Neural network an1alysis of sleep stages enables efficient diagnosis of
  narcolepsy
Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy
Jens B. Stephansen
A. N. Olesen
Mads Olsen
A. Ambati
E. Leary
...
C. Kushida
P. Peppard
H. Sørensen
P. Jennum
Emmanuel Mignot
38
220
0
05 Oct 2017
A concatenating framework of shortcut convolutional neural networks
A concatenating framework of shortcut convolutional neural networks
Yujian Li
Ting Zhang
Zhaoying Liu
Haihe Hu
18
10
0
03 Oct 2017
Neural Trojans
Neural Trojans
Yuntao Liu
Yang Xie
Ankur Srivastava
AAML
8
348
0
03 Oct 2017
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