ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1512.03385
  4. Cited By
Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
ArXivPDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

24 / 1,674 papers shown
Title
A Survey of Deep Network Solutions for Learning Control in Robotics:
  From Reinforcement to Imitation
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
L. Tai
Jingwei Zhang
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
OffRL
33
78
0
21 Dec 2016
Wide-Slice Residual Networks for Food Recognition
Wide-Slice Residual Networks for Food Recognition
N. Martinel
G. Foresti
C. Micheloni
51
201
0
20 Dec 2016
Large-Scale Image Retrieval with Attentive Deep Local Features
Large-Scale Image Retrieval with Attentive Deep Local Features
Hyeonwoo Noh
A. Araújo
Jack Sim
Tobias Weyand
Bohyung Han
3DV
55
769
0
19 Dec 2016
Quantization and Training of Low Bit-Width Convolutional Neural Networks
  for Object Detection
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
Penghang Yin
Shuai Zhang
Y. Qi
Jack Xin
MQ
85
41
0
19 Dec 2016
Deep Learning and Its Applications to Machine Health Monitoring: A
  Survey
Deep Learning and Its Applications to Machine Health Monitoring: A Survey
Rui Zhao
Ruqiang Yan
Zhenghua Chen
K. Mao
Peng Wang
Ruize Gao
AI4CE
30
164
0
16 Dec 2016
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCL
ObjD
54
81
0
20 Nov 2016
Small-footprint Highway Deep Neural Networks for Speech Recognition
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
53
16
0
18 Oct 2016
End-to-end Concept Word Detection for Video Captioning, Retrieval, and
  Question Answering
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering
Youngjae Yu
Hyungjin Ko
Jongwook Choi
Gunhee Kim
52
230
0
10 Oct 2016
Revisiting Multiple Instance Neural Networks
Revisiting Multiple Instance Neural Networks
Xinggang Wang
Yongluan Yan
Peng Tang
X. Bai
Wenyu Liu
65
441
0
08 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
578
14,454
0
07 Oct 2016
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by
  Fine-Grained Deep Learning
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning
Yu Wang
Haofu Liao
Yang Feng
Xiangyang Xu
Jiebo Luo
CVBM
46
25
0
06 Oct 2016
Image Aesthetic Assessment: An Experimental Survey
Image Aesthetic Assessment: An Experimental Survey
Yubin Deng
Chen Change Loy
Xiaoou Tang
39
263
0
04 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
37
343
0
01 Oct 2016
Understanding data augmentation for classification: when to warp?
Understanding data augmentation for classification: when to warp?
S. Wong
Adam Gatt
V. Stamatescu
Mark D Mcdonnell
43
901
0
28 Sep 2016
Asynchronous Stochastic Gradient Descent with Delay Compensation
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng
Qi Meng
Taifeng Wang
Wei Chen
Nenghai Yu
Zhiming Ma
Tie-Yan Liu
54
313
0
27 Sep 2016
A Fully Convolutional Neural Network for Speech Enhancement
A Fully Convolutional Neural Network for Speech Enhancement
Se Rim Park
Jinwon Lee
24
370
0
22 Sep 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
53
365
0
08 Feb 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
27
16
0
15 Jan 2016
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
175
3,862
0
19 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
193
2,229
0
18 Sep 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
142
11,183
0
18 Jun 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
55
1,830
0
20 Dec 2013
Pushing Stochastic Gradient towards Second-Order Methods --
  Backpropagation Learning with Transformations in Nonlinearities
Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
T. Vatanen
T. Raiko
Harri Valpola
Yann LeCun
ODL
49
34
0
15 Jan 2013
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
319
7,650
0
03 Jul 2012
Previous
123...323334