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YOLO9000: Better, Faster, Stronger

YOLO9000: Better, Faster, Stronger

Computer Vision and Pattern Recognition (CVPR), 2016
25 December 2016
Joseph Redmon
Ali Farhadi
    VLMObjD
ArXiv (abs)PDFHTML

Papers citing "YOLO9000: Better, Faster, Stronger"

24 / 2,574 papers shown
Title
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object
  Detection in Embedded Systems
LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems
Subarna Tripathi
G. Dane
Byeongkeun Kang
V. Bhaskaran
Truong Thao Nguyen
ObjD
163
37
0
16 May 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural
  Networks for Environmental Awareness
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Nikolai Smolyanskiy
A. Kamenev
Jeffrey Smith
Stan Birchfield
299
233
0
07 May 2017
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao
Xiaojuan Qi
Xiaoyong Shen
Jianping Shi
Jiaya Jia
SSeg
219
1,533
0
27 Apr 2017
ME R-CNN: Multi-Expert R-CNN for Object Detection
ME R-CNN: Multi-Expert R-CNN for Object Detection
Hyungtae Lee
Sungmin Eum
H. Kwon
ObjD
209
68
0
04 Apr 2017
End-To-End Face Detection and Recognition
End-To-End Face Detection and Recognition
Liying Chi
Hongxin Zhang
Mingxiu Chen
CVBM
100
9
0
31 Mar 2017
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Rui Hou
Chong Chen
M. Shah
MedIm
285
349
0
30 Mar 2017
Open Vocabulary Scene Parsing
Open Vocabulary Scene Parsing
Hang Zhao
Xavier Puig
Bolei Zhou
Sanja Fidler
Antonio Torralba
VLM3DV
276
126
0
26 Mar 2017
A Data Driven Approach for Compound Figure Separation Using
  Convolutional Neural Networks
A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks
Satoshi Tsutsui
David J. Crandall
122
42
0
15 Mar 2017
NoScope: Optimizing Neural Network Queries over Video at Scale
NoScope: Optimizing Neural Network Queries over Video at Scale
Daniel Kang
John Emmons
Firas Abuzaid
Peter Bailis
Matei A. Zaharia
214
227
0
07 Mar 2017
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH3DV
505
2,633
0
30 Nov 2016
Online Real-time Multiple Spatiotemporal Action Localisation and
  Prediction
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
Gurkirt Singh
Suman Saha
Michael Sapienza
Juil Sock
Fabio Cuzzolin
344
299
0
25 Nov 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
576
15,000
0
23 Feb 2016
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
226
1,250
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.6K
214,937
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
ObjDBDL
2.1K
33,058
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
1.4K
41,989
0
08 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 NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
1.4K
68,769
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
769
27,257
0
30 Apr 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
1.4K
45,515
0
11 Feb 2015
Going Deeper with Convolutions
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
1.1K
45,994
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014
Karen Simonyan
Andrew Zisserman
FAttMDE
3.5K
107,674
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
2.9K
41,393
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in ContextEuropean Conference on Computer Vision (ECCV), 2014
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
13.2K
48,976
0
01 May 2014
Network In Network
Network In NetworkInternational Conference on Learning Representations (ICLR), 2013
Min Lin
Qiang Chen
Shuicheng Yan
1.1K
6,545
0
16 Dec 2013
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