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A Review of Object Detection Models based on Convolutional Neural
  Network

A Review of Object Detection Models based on Convolutional Neural Network

5 May 2019
F. Sultana
Abu Sufian
P. Dutta
    ObjD
ArXivPDFHTML

Papers citing "A Review of Object Detection Models based on Convolutional Neural Network"

27 / 27 papers shown
Title
Advancements in Image Classification using Convolutional Neural Network
Advancements in Image Classification using Convolutional Neural Network
F. Sultana
Abu Sufian
P. Dutta
44
274
0
08 May 2019
TernausNetV2: Fully Convolutional Network for Instance Segmentation
TernausNetV2: Fully Convolutional Network for Instance Segmentation
V. Iglovikov
Selim S. Seferbekov
A. Buslaev
Alexey A. Shvets
SSeg
64
157
0
03 Jun 2018
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
132
609
0
01 Jun 2018
MaskLab: Instance Segmentation by Refining Object Detection with
  Semantic and Direction Features
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen
Alexander Hermans
George Papandreou
Florian Schroff
Peng Wang
Hartwig Adam
ISeg
56
348
0
13 Dec 2017
Single-Shot Refinement Neural Network for Object Detection
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
51
1,286
0
18 Nov 2017
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
Sanghyun Woo
Soonmin Hwang
In So Kweon
ObjD
38
87
0
18 Sep 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,129
0
20 Mar 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
179
15,602
0
25 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
437
22,040
0
09 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
85
513
0
04 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
485
10,305
0
16 Nov 2016
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Hard Negative Mining for Metric Learning Based Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
27
58
0
26 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
597
37,806
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
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
196
29,742
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
656
36,801
0
08 Jun 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
130
2,908
0
05 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
290
25,033
0
30 Apr 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
90
409
0
23 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.5K
39,472
0
01 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
255
14,704
0
20 Jun 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
352
11,199
0
18 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
204
3,416
0
14 May 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
375
43,524
0
01 May 2014
Scalable Object Detection using Deep Neural Networks
Scalable Object Detection using Deep Neural Networks
D. Erhan
Christian Szegedy
Alexander Toshev
Dragomir Anguelov
ObjD
110
1,165
0
08 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
268
26,168
0
11 Nov 2013
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