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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 / 26,582 papers shown
Title
ResFeats: Residual Network Based Features for Image Classification
ResFeats: Residual Network Based Features for Image Classification
A. Mahmood
Bennamoun
Senjian An
Ferdous Sohel
VLM
SSeg
26
58
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
95
2,831
0
20 Nov 2016
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCL
ObjD
35
81
0
20 Nov 2016
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage
  Assessment
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Nazia Attari
Ferda Ofli
Mohammad Awad
J. Lucas
Sanjay Chawla
46
44
0
20 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
13
89
0
20 Nov 2016
Deep Residual Learning for Compressed Sensing CT Reconstruction via
  Persistent Homology Analysis
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Yoseob Han
J. Yoo
J. C. Ye
32
203
0
19 Nov 2016
Beyond Deep Residual Learning for Image Restoration: Persistent
  Homology-Guided Manifold Simplification
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification
Woong Bae
J. Yoo
J. C. Ye
SupR
24
177
0
19 Nov 2016
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
58
413
0
19 Nov 2016
ModelHub: Towards Unified Data and Lifecycle Management for Deep
  Learning
ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning
Hui Miao
Ang Li
L. Davis
Amol Deshpande
VLM
MU
29
128
0
18 Nov 2016
LOTS about Attacking Deep Features
LOTS about Attacking Deep Features
Andras Rozsa
Manuel Günther
Terrance E. Boult
AAML
46
42
0
18 Nov 2016
AFFACT - Alignment-Free Facial Attribute Classification Technique
AFFACT - Alignment-Free Facial Attribute Classification Technique
Manuel Günther
Andras Rozsa
Terrance E. Boult
CVBM
29
56
0
18 Nov 2016
Cross Domain Knowledge Transfer for Person Re-identification
Cross Domain Knowledge Transfer for Person Re-identification
Qiqi Xiao
Kelei Cao
Haonan Chen
Fangyue Peng
Chi Zhang
36
18
0
18 Nov 2016
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA
  Binding Proteins
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins
H. Hassanzadeh
May D. Wang
15
125
0
17 Nov 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
MDE
35
259
0
17 Nov 2016
Hard-Aware Deeply Cascaded Embedding
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
300
0
17 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
19
96
0
17 Nov 2016
A Discriminatively Learned CNN Embedding for Person Re-identification
A Discriminatively Learned CNN Embedding for Person Re-identification
Zhedong Zheng
Liang Zheng
Yi Yang
64
883
0
17 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network
  for Fast Artistic Style Transfer
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer
Xin Eric Wang
Geoffrey Oxholm
Da Zhang
Yuan-fang Wang
GAN
OffRL
24
168
0
17 Nov 2016
Multimodal Memory Modelling for Video Captioning
Multimodal Memory Modelling for Video Captioning
Junbo Wang
Wei Wang
Yan Huang
Liang Wang
Tieniu Tan
32
142
0
17 Nov 2016
On the Exploration of Convolutional Fusion Networks for Visual
  Recognition
On the Exploration of Convolutional Fusion Networks for Visual Recognition
Y. Liu
Yanming Guo
M. Lew
30
23
0
16 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
306
10,233
0
16 Nov 2016
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
21
384
0
16 Nov 2016
Real-Time Video Super-Resolution with Spatio-Temporal Networks and
  Motion Compensation
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
Jose Caballero
C. Ledig
Andrew P. Aitken
Alejandro Acosta
J. Totz
Zehan Wang
Wenzhe Shi
SupR
61
659
0
16 Nov 2016
Deep Transfer Learning for Person Re-identification
Deep Transfer Learning for Person Re-identification
Mengyue Geng
Yaowei Wang
Tao Xiang
Yonghong Tian
31
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
29
63
0
16 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL
3DV
BDL
30
13
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
14
909
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
BDL
DRL
30
723
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
SyDa
VLM
73
700
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
45
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
35
1,323
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
60
760
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
28
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
27
136
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
35
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
27
106
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
23
70
0
14 Nov 2016
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
25
398
0
14 Nov 2016
Convolutional Regression for Visual Tracking
Convolutional Regression for Visual Tracking
Kai Chen
Wenbing Tao
26
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
130
4,535
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
15
2,103
0
11 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
39
190
0
10 Nov 2016
Incremental Sequence Learning
Incremental Sequence Learning
E. Jong
CLL
24
5
0
09 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
D. Song
AAML
23
1,722
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
DRL
SSL
GAN
47
671
0
08 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
63
716
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
37
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 F. Abdelzaher
HAI
AI4TS
30
617
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
46
338
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
27
418
0
06 Nov 2016
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