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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 / 27,168 papers shown
Title
Single Image Action Recognition using Semantic Body Part Actions
Single Image Action Recognition using Semantic Body Part Actions
Zhichen Zhao
Huimin Ma
Shaodi You
22
73
0
14 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
34
2,552
0
12 Dec 2016
Inverse Compositional Spatial Transformer Networks
Inverse Compositional Spatial Transformer Networks
Chen-Hsuan Lin
Simon Lucey
24
162
0
12 Dec 2016
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
25
1,357
0
12 Dec 2016
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and
  Multilabel Classification
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification
Maksim Lapin
Matthias Hein
Bernt Schiele
38
101
0
12 Dec 2016
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
29
70
0
10 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
68
2,705
0
10 Dec 2016
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Jianxu Chen
C. Srinivas
37
31
0
09 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
222
21,841
0
09 Dec 2016
Clipper: A Low-Latency Online Prediction Serving System
Clipper: A Low-Latency Online Prediction Serving System
D. Crankshaw
Xin Wang
Giulio Zhou
Michael Franklin
Joseph E. Gonzalez
Ion Stoica
24
671
0
09 Dec 2016
ActionFlowNet: Learning Motion Representation for Action Recognition
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng
Jonghyun Choi
J. Neumann
L. Davis
36
117
0
09 Dec 2016
Facial Expression Recognition using Convolutional Neural Networks: State
  of the Art
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
C. Pramerdorfer
M. Kampel
CVBM
100
246
0
09 Dec 2016
Deep TEN: Texture Encoding Network
Deep TEN: Texture Encoding Network
Hang Zhang
Jia Xue
Kristin J. Dana
3DV
30
228
0
08 Dec 2016
An Architecture for Deep, Hierarchical Generative Models
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
AI4CE
BDL
33
53
0
08 Dec 2016
Differential Angular Imaging for Material Recognition
Differential Angular Imaging for Material Recognition
Jia Xue
Hang Zhang
Kristin J. Dana
Ko Nishino
29
87
0
07 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
36
1,451
0
07 Dec 2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene
  Deblurring
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah
Tae Hyun Kim
Kyoung Mu Lee
87
1,949
0
07 Dec 2016
Richer Convolutional Features for Edge Detection
Richer Convolutional Features for Edge Detection
Yun-Hai Liu
Ming-Ming Cheng
Xiaowei Hu
Kai Wang
X. Bai
35
1,020
0
07 Dec 2016
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
22
191
0
05 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
0
05 Dec 2016
ArtTrack: Articulated Multi-person Tracking in the Wild
ArtTrack: Articulated Multi-person Tracking in the Wild
Eldar Insafutdinov
Mykhaylo Andriluka
L. Pishchulin
Siyu Tang
Evgeny Levinkov
Bjoern Andres
Bernt Schiele
VOT
21
265
0
05 Dec 2016
ImageNet pre-trained models with batch normalization
ImageNet pre-trained models with batch normalization
Marcel Simon
E. Rodner
Joachim Denzler
VLM
SSeg
44
165
0
05 Dec 2016
On-Demand Learning for Deep Image Restoration
On-Demand Learning for Deep Image Restoration
Ruohan Gao
Kristen Grauman
35
78
0
05 Dec 2016
Deep Image Category Discovery using a Transferred Similarity Function
Deep Image Category Discovery using a Transferred Similarity Function
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
35
15
0
05 Dec 2016
Deep Pyramidal Residual Networks with Separated Stochastic Depth
Deep Pyramidal Residual Networks with Separated Stochastic Depth
Yoshihiro Yamada
Masakazu Iwamura
K. Kise
23
27
0
05 Dec 2016
Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural
  Networks
Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks
Kede Ma
Huan Fu
Tongliang Liu
Zhou Wang
Dacheng Tao
25
23
0
05 Dec 2016
Deep Metric Learning via Facility Location
Deep Metric Learning via Facility Location
Hyun Oh Song
Stefanie Jegelka
V. Rathod
Kevin Patrick Murphy
35
23
0
05 Dec 2016
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
R. Güler
George Trigeorgis
Epameinondas Antonakos
Patrick Snape
S. Zafeiriou
Iasonas Kokkinos
3DH
3DV
21
201
0
04 Dec 2016
Trained Ternary Quantization
Trained Ternary Quantization
Chenzhuo Zhu
Song Han
Huizi Mao
W. Dally
MQ
59
1,035
0
04 Dec 2016
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural
  Networks for Real-Time Object Detection for Autonomous Driving
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
44
512
0
04 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
149
3,136
0
02 Dec 2016
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN
DiffM
29
497
0
02 Dec 2016
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Peter Anderson
Basura Fernando
Mark Johnson
Stephen Gould
23
232
0
02 Dec 2016
Self-critical Sequence Training for Image Captioning
Self-critical Sequence Training for Image Captioning
Steven J. Rennie
E. Marcheret
Youssef Mroueh
Jerret Ross
Vaibhava Goel
22
1,879
0
02 Dec 2016
Object-Centric Representation Learning from Unlabeled Videos
Object-Centric Representation Learning from Unlabeled Videos
Ruohan Gao
Dinesh Jayaraman
Kristen Grauman
24
36
0
01 Dec 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen
Noranart Vesdapunt
Vishnu Boddeti
Kris Kitani
19
29
0
01 Dec 2016
TorontoCity: Seeing the World with a Million Eyes
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang
Min Bai
Gellért Máttyus
Hang Chu
Wenjie Luo
Binh Yang
Justin Liang
Joel Cheverie
Sanja Fidler
R. Urtasun
3DV
ViT
16
178
0
01 Dec 2016
Video Captioning with Multi-Faceted Attention
Video Captioning with Multi-Faceted Attention
Xiang Long
Chuang Gan
Gerard de Melo
24
88
0
01 Dec 2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen
Shuchang Zhou
Zhe Liang
Yuxiang Zhang
Dieqiao Feng
Xinyu Zhou
Cong Yao
MQ
SSeg
37
10
0
01 Dec 2016
Video Scene Parsing with Predictive Feature Learning
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin
Xuzhao Li
Huaxin Xiao
Xiaohui Shen
Zhe-nan Lin
...
Jian Dong
Luoqi Liu
Zequn Jie
Jiashi Feng
Shuicheng Yan
40
111
0
01 Dec 2016
Two Methods For Wild Variational Inference
Two Methods For Wild Variational Inference
Qiang Liu
Yihao Feng
BDL
32
19
0
30 Nov 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
260
1,495
0
30 Nov 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
29
2,562
0
30 Nov 2016
High-Resolution Image Inpainting using Multi-Scale Neural Patch
  Synthesis
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang
Xin Lu
Zhe-nan Lin
Eli Shechtman
Oliver Wang
Hao Li
37
779
0
30 Nov 2016
Attend in groups: a weakly-supervised deep learning framework for
  learning from web data
Attend in groups: a weakly-supervised deep learning framework for learning from web data
Bohan Zhuang
Lingqiao Liu
Yao Li
Chunhua Shen
Ian Reid
NoLa
24
89
0
30 Nov 2016
Learning a Discriminative Filter Bank within a CNN for Fine-grained
  Recognition
Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition
Yaming Wang
Vlad I. Morariu
L. Davis
32
10
0
29 Nov 2016
Capacity and Trainability in Recurrent Neural Networks
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins
Jascha Narain Sohl-Dickstein
David Sussillo
35
203
0
29 Nov 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
31
666
0
29 Nov 2016
Gossip training for deep learning
Gossip training for deep learning
Michael Blot
David Picard
Matthieu Cord
Nicolas Thome
FedML
24
112
0
29 Nov 2016
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