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Fused Deep Neural Networks for Efficient Pedestrian Detection

Fused Deep Neural Networks for Efficient Pedestrian Detection

2 May 2018
Xianzhi Du
Mostafa El-Khamy
Vlad I. Morariu
Jungwon Lee
L. Davis
ArXivPDFHTML

Papers citing "Fused Deep Neural Networks for Efficient Pedestrian Detection"

18 / 18 papers shown
Title
Fused DNN: A deep neural network fusion approach to fast and robust
  pedestrian detection
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection
Xianzhi Du
Mostafa El-Khamy
Jungwon Lee
L. Davis
46
274
0
11 Oct 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
75
1,491
0
25 Jul 2016
Is Faster R-CNN Doing Well for Pedestrian Detection?
Is Faster R-CNN Doing Well for Pedestrian Detection?
Liliang Zhang
Liang Lin
Xiaodan Liang
Kaiming He
ObjD
57
819
0
24 Jul 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.0K
11,587
0
06 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
139
7,465
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
2.1K
193,426
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
204
29,742
0
08 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
262
8,434
0
23 Nov 2015
Scale-aware Fast R-CNN for Pedestrian Detection
Scale-aware Fast R-CNN for Pedestrian Detection
Jianan Li
Xiaodan Liang
Shengmei Shen
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
67
785
0
28 Oct 2015
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai
M. Saberian
Nuno Vasconcelos
63
339
0
19 Jul 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
121
1,211
0
15 Jun 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
480
62,122
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
51
350
0
23 Jan 2015
Ten Years of Pedestrian Detection, What Have We Learned?
Ten Years of Pedestrian Detection, What Have We Learned?
Rodrigo Benenson
Mohamed Omran
J. Hosang
Bernt Schiele
67
713
0
16 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
420
43,589
0
17 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
263
14,704
0
20 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
385
43,524
0
01 May 2014
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