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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 / 38,637 papers shown
Title
Place recognition: An Overview of Vision Perspective
Place recognition: An Overview of Vision Perspective
Zhiqiang Zeng
Jian Zhang
Xiaodong Wang
Yuming Chen
Chaoyang Zhu
BDL
57
23
0
17 Jun 2017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala
Matthias Hein
ODL
84
258
0
17 Jun 2017
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks
Yuzhi Wang
A. Yang
Xiaoming Chen
Pengjun Wang
Yu Wang
Huazhong Yang
41
66
0
16 Jun 2017
Perceptual Generative Adversarial Networks for Small Object Detection
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li
Xiaodan Liang
Yunchao Wei
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
106
731
0
16 Jun 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
103
44
0
16 Jun 2017
A Fully Trainable Network with RNN-based Pooling
A Fully Trainable Network with RNN-based Pooling
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
51
21
0
16 Jun 2017
Face Clustering: Representation and Pairwise Constraints
Face Clustering: Representation and Pairwise Constraints
Yichun Shi
C. Otto
Anil K. Jain
CVBM
80
98
0
15 Jun 2017
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang
Jordan T. Ash
John Langford
Robert Schapire
92
111
0
15 Jun 2017
Sobolev Training for Neural Networks
Sobolev Training for Neural Networks
Wojciech M. Czarnecki
Simon Osindero
Max Jaderberg
G. Swirszcz
Razvan Pascanu
89
248
0
15 Jun 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical
  Image Segmentation
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Ling Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
Benlin Liu
MedIm
89
505
0
15 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
89
1,394
0
14 Jun 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
301
5,896
0
14 Jun 2017
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video
  Classification
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification
Yu-Gang Jiang
Zuxuan Wu
Jinhui Tang
Zechao Li
Xiangyang Xue
Shih-Fu Chang
56
97
0
14 Jun 2017
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Manuk Akopyan
Eshsou Khashba
41
7
0
14 Jun 2017
Hierarchical Gaussian Descriptors with Application to Person
  Re-Identification
Hierarchical Gaussian Descriptors with Application to Person Re-Identification
Tetsu Matsukawa
Takahiro Okabe
Einoshin Suzuki
Yoichi Sato
77
34
0
14 Jun 2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning
  Approach
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Ding Liu
Bihan Wen
Xianming Liu
Zhangyang Wang
Thomas S. Huang
VLM
53
216
0
14 Jun 2017
Transfer entropy-based feedback improves performance in artificial
  neural networks
Transfer entropy-based feedback improves performance in artificial neural networks
S. Herzog
Christian Tetzlaff
Florentin Wörgötter
63
7
0
13 Jun 2017
von Mises-Fisher Mixture Model-based Deep learning: Application to Face
  Verification
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Abul Hasnat
Julien Bohné
Jonathan Milgram
S. Gentric
Liming Chen
CVBM
106
93
0
13 Jun 2017
The "something something" video database for learning and evaluating
  visual common sense
The "something something" video database for learning and evaluating visual common sense
Raghav Goyal
Samira Ebrahimi Kahou
Vincent Michalski
Joanna Materzynska
S. Westphal
...
Moritz Mueller-Freitag
F. Hoppe
Christian Thurau
Ingo Bax
Roland Memisevic
VLM
111
1,545
0
13 Jun 2017
Device Placement Optimization with Reinforcement Learning
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
93
445
0
13 Jun 2017
SEP-Nets: Small and Effective Pattern Networks
SEP-Nets: Small and Effective Pattern Networks
Zhe Li
Xiaoyu Wang
Xutao Lv
Tianbao Yang
85
12
0
13 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
980
133,443
0
12 Jun 2017
Large-Scale Plant Classification with Deep Neural Networks
Large-Scale Plant Classification with Deep Neural Networks
Ignacio Heredia
60
28
0
12 Jun 2017
Image Crowd Counting Using Convolutional Neural Network and Markov
  Random Field
Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
Kang Han
W. Wan
Hai-yan Yao
Li Hou
47
36
0
12 Jun 2017
Point Linking Network for Object Detection
Point Linking Network for Object Detection
Xinggang Wang
Kaibing Chen
Zilong Huang
Cong Yao
Wenyu Liu
ObjD
83
31
0
12 Jun 2017
Context encoding enables machine learning-based quantitative
  photoacoustics
Context encoding enables machine learning-based quantitative photoacoustics
Thomas Kirchner
J. Gröhl
Lena Maier-Hein
40
62
0
12 Jun 2017
Confident Multiple Choice Learning
Confident Multiple Choice Learning
Kimin Lee
Changho Hwang
KyoungSoo Park
Jinwoo Shin
78
49
0
12 Jun 2017
YellowFin and the Art of Momentum Tuning
YellowFin and the Art of Momentum Tuning
Jian Zhang
Ioannis Mitliagkas
ODL
94
108
0
12 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
105
554
0
12 Jun 2017
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote
  Sensing Image Retrieval
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval
Weixun Zhou
Shawn D. Newsam
Congmin Li
Z. Shao
172
461
0
11 Jun 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep
  Learning on GPU Clusters
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Huatian Zhang
Zeyu Zheng
Shizhen Xu
Wei-Ming Dai
Qirong Ho
Xiaodan Liang
Zhiting Hu
Jinliang Wei
P. Xie
Eric Xing
GNN
84
349
0
11 Jun 2017
Item Silk Road: Recommending Items from Information Domains to Social
  Users
Item Silk Road: Recommending Items from Information Domains to Social Users
Xiang Wang
Xiangnan He
Liqiang Nie
Tat-Seng Chua
86
272
0
10 Jun 2017
Deep Adaptive Feature Embedding with Local Sample Distributions for
  Person Re-identification
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Lin Wu
Yang Wang
Junbin Gao
Xue Li
107
162
0
10 Jun 2017
Visual Search at eBay
Visual Search at eBay
Fan Yang
Ajinkya Kale
Y. Bubnov
Leon Stein
Qiaosong Wang
M. Kiapour
Robinson Piramuthu
53
96
0
10 Jun 2017
TIP: Typifying the Interpretability of Procedures
TIP: Typifying the Interpretability of Procedures
Amit Dhurandhar
Vijay Iyengar
Ronny Luss
Karthikeyan Shanmugam
85
36
0
09 Jun 2017
Enhancing SDO/HMI images using deep learning
Enhancing SDO/HMI images using deep learning
C. D. Baso
A. Ramos
34
51
0
09 Jun 2017
Multi-Modal Obstacle Detection in Unstructured Environments with
  Conditional Random Fields
Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields
M. K. Hansen
J. Underwood
25
29
0
09 Jun 2017
Learning to Learn from Noisy Web Videos
Learning to Learn from Noisy Web Videos
Serena Yeung
Vignesh Ramanathan
Olga Russakovsky
Liyue Shen
Greg Mori
Li Fei-Fei
NoLa
59
32
0
09 Jun 2017
Face Detection through Scale-Friendly Deep Convolutional Networks
Face Detection through Scale-Friendly Deep Convolutional Networks
Shuo Yang
Yuanjun Xiong
Chen Change Loy
Xiaoou Tang
CVBM
58
121
0
09 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCVOODD
181
2,087
0
08 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
47
2
0
08 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
247
3,692
0
08 Jun 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
575
2,528
0
08 Jun 2017
Learning Deep Representations for Scene Labeling with Semantic Context
  Guided Supervision
Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision
Zhe Wang
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
SSL
29
2
0
08 Jun 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of
  Convolutional Neural Networks
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
Denis A. Gudovskiy
Luca Rigazio
MQ
111
54
0
07 Jun 2017
Training Quantized Nets: A Deeper Understanding
Training Quantized Nets: A Deeper Understanding
Hao Li
Soham De
Zheng Xu
Christoph Studer
H. Samet
Tom Goldstein
MQ
89
211
0
07 Jun 2017
Learning to Extract Semantic Structure from Documents Using Multimodal
  Fully Convolutional Neural Network
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang
Ersin Yumer
P. Asente
Mike Kraley
Daniel Kifer
C. Lee Giles
78
230
0
07 Jun 2017
Low-shot learning with large-scale diffusion
Low-shot learning with large-scale diffusion
Matthijs Douze
Arthur Szlam
Bharath Hariharan
Hervé Jégou
97
113
0
07 Jun 2017
Recurrent computations for visual pattern completion
Recurrent computations for visual pattern completion
Hanlin Tang
Martin Schrimpf
William Lotter
Charlotte Moerman
Ana Paredes
Josue Ortega Caro
Walter Hardesty
David D. Cox
Gabriel Kreiman
74
212
0
07 Jun 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent
  Neural Networks for Robust Speech Emotion Recognition
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition
Che-Wei Huang
Shrikanth. S. Narayanan
HAI
60
25
0
07 Jun 2017
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