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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"

31 / 28,331 papers shown
Title
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
111
1,926
0
25 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
191
14,161
0
23 Feb 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
45
1,480
0
14 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
28
324
0
11 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
38
364
0
08 Feb 2016
Learning scale-variant and scale-invariant features for deep image
  classification
Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord
E. Postma
SSL
19
157
0
03 Feb 2016
Visual descriptors for content-based retrieval of remote sensing images
Visual descriptors for content-based retrieval of remote sensing images
Paolo Napoletano
25
116
0
02 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,554
0
25 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
29
7
0
25 Jan 2016
Improved graph-based SFA: Information preservation complements the
  slowness principle
Improved graph-based SFA: Information preservation complements the slowness principle
Alberto N. Escalante
Laurenz Wiskott
16
16
0
15 Jan 2016
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
34
75
0
24 Dec 2015
A Mathematical Theory of Deep Convolutional Neural Networks for Feature
  Extraction
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski
Helmut Bölcskei
FAtt
34
362
0
19 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric
  Learning with Humans in the Loop
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Huayu Chen
Feng Zhou
Yuanqing Lin
Serge J. Belongie
29
236
0
16 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian Sun
SSeg
44
1,225
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
41
1,205
0
14 Dec 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained
  Recognition
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
J. Krause
Benjamin Sapp
Andrew Howard
Howard Zhou
Alexander Toshev
Tom Duerig
James Philbin
Fei-Fei Li
34
364
0
20 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
32
605
0
19 Nov 2015
Better Computer Go Player with Neural Network and Long-term Prediction
Better Computer Go Player with Neural Network and Long-term Prediction
Yuandong Tian
Yan Zhu
AI4CE
29
86
0
19 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
44
812
0
19 Nov 2015
Learning Fine-grained Features via a CNN Tree for Large-scale
  Classification
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang
Xingxing Wang
G. Wang
28
49
0
14 Nov 2015
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
24
406
0
06 Nov 2015
Predicting popularity of online videos using Support Vector Regression
Predicting popularity of online videos using Support Vector Regression
Tomasz Trzciñski
Przemyslaw Rokita
20
159
0
21 Oct 2015
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
28
170
0
04 Sep 2015
Indexing of CNN Features for Large Scale Image Search
Indexing of CNN Features for Large Scale Image Search
Ruoyu Liu
Yao-Min Zhao
Shikui Wei
Lixin Liao
33
39
0
02 Aug 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
237
61,624
0
04 Jun 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
27
408
0
23 Apr 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
127
3,402
0
02 Apr 2015
Color Image Classification via Quaternion Principal Component Analysis
  Network
Color Image Classification via Quaternion Principal Component Analysis Network
Rui Zeng
Jiasong Wu
Zhuhong Shao
Yang Chen
L. Senhadji
H. Shu
21
71
0
05 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
136
43,072
0
11 Feb 2015
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
44
754
0
18 Nov 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
270
7,640
0
03 Jul 2012
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