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  2018, Vol. 31 Issue (4): 335-346    DOI: 10.16451/j.cnki.issn1003-6059.201804005
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Survey of Object Detection Based on Deep Convolutional Network
WU Shuai1, XU Yong1, ZHAO Dongning1, 2
1.IntelliSense and Bioinformatics Innovation Team, HIT Institute of Technology Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055
2.College of Information Engineering, Shenzhen University, Shenzhen 518000

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Abstract  

Deep convolutional network is prevalent in object detection task. Region-based convolutional neural network(RCNN) bridges the gap between the classification of deep convolutional network and the object detection task well. Then the whole object detection process is aggregated into a unified deep framework by Faster-RCNN. You only look once(YOLO) and single shot multibox detector(SSD) effectively improve the efficiency of object detection. Different deep object detection frameworks are comprehensively analyzed and divided into two categories: the proposal based framework and the regression based framework. The proposal based framework is utilized to generate thousands of candidate proposals and then classification and bounding box regression are conducted on these proposals. The regression based framework outputs the bounding box position through some special iterations directly. Furthermore, the advantage for different kinds of frameworks is demonstrated through adequate experiments on the mainstream database like PASCAL_VOC and COCO. Finally, the development direction of object detection is discussed.

Key wordsDeep Convolutional Network      Object Detection      Candidate Proposals      Region of Interest(ROI) Pooling     
Received: 15 January 2018     
ZTFLH: TP 391.4  
About author:: WU Shuai, Ph.D. candidate. His research interests include pattern analysis and deep learning;XU Yong, Ph.D., professor. His research interests include pattern analysis, artificial intelligence and image processing;ZHAO Dongning, Ph.D.. Her research interests include multimedia information processing, big data and artificial intelligence.
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WU Shuai,XU Yong,ZHAO Dongning. Survey of Object Detection Based on Deep Convolutional Network[J]. , 2018, 31(4): 335-346.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201804005      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I4/335
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