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. 1412.1710
  4. Cited By
Convolutional Neural Networks at Constrained Time Cost

Convolutional Neural Networks at Constrained Time Cost

4 December 2014
Kaiming He
Jian Sun
    3DV
ArXivPDFHTML

Papers citing "Convolutional Neural Networks at Constrained Time Cost"

14 / 214 papers shown
Title
Residual CNDS
Residual CNDS
Hussein A. Al-Barazanchi
Hussam Qassim
Abhishek Verma
18
0
0
07 Aug 2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided
  Dietary Assessment
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Chang Liu
Yu Cao
Yan Luo
Guanling Chen
V. Vokkarane
Yunsheng Ma
8
251
0
17 Jun 2016
Improving Deep Neural Network with Multiple Parametric Exponential
  Linear Units
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
Yang Li
Chunxiao Fan
Yong Li
Qiong Wu
Yue Ming
12
83
0
01 Jun 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Towards Empathetic Human-Robot Interactions
Towards Empathetic Human-Robot Interactions
Pascale Fung
D. Bertero
Yan Wan
Anik Dey
R. Chan
Farhad Bin Siddique
Yang Yang
Chien-Sheng Wu
Ruixi Lin
14
56
0
13 May 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
50
120
0
14 Apr 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
29
7,417
0
24 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
216
191,365
0
10 Dec 2015
Feature Evaluation of Deep Convolutional Neural Networks for Object
  Recognition and Detection
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
33
19
0
25 Sep 2015
Fast ConvNets Using Group-wise Brain Damage
Fast ConvNets Using Group-wise Brain Damage
V. Lebedev
Victor Lempitsky
AAML
44
447
0
08 Jun 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
20
789
0
26 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
32
137
0
30 Apr 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,455
0
06 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
63
7,992
0
31 Dec 2014
Previous
12345