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Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection
Zhang, Jinpeng1,2,3,4; Zhang, Jinming5; Yu, Shan1,2,3,4
发表期刊SENSORS
ISSN1424-8220
2018-10-01
卷号18期号:10页码:19
通讯作者Zhang, Jinpeng(zhjphust@163.com)
摘要In the image object detection task, a huge number of candidate boxes are generated to match with a relatively very small amount of ground-truth boxes, and through this method the learning samples can be created. But in fact the vast majority of the candidate boxes do not contain valid object instances and should be recognized and rejected during the training and evaluation of the network. This leads to extra high computation burden and a serious imbalance problem between object and none-object samples, thereby impeding the algorithm's performance. Here we propose a new heuristic sampling method to generate candidate boxes for two-stage detection algorithms. It is generally applicable to the current two-stage detection algorithms to improve their detection performance. Experiments on COCO dataset showed that, relative to the baseline model, this new method could significantly increase the detection accuracy and efficiency.
关键词image object detection RCNN Faster RCNN Light Head RCNN
DOI10.3390/s18103415
关键词[WOS]FEATURES
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2017YFA0105203] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDBS01040200] ; Hundred-Talent Program of CAS
项目资助者National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) ; Hundred-Talent Program of CAS
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
WOS类目Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS记录号WOS:000448661500243
出版者MDPI
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/22561
专题脑网络组研究中心
通讯作者Zhang, Jinpeng
作者单位1.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Jinpeng,Zhang, Jinming,Yu, Shan. Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection[J]. SENSORS,2018,18(10):19.
APA Zhang, Jinpeng,Zhang, Jinming,&Yu, Shan.(2018).Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection.SENSORS,18(10),19.
MLA Zhang, Jinpeng,et al."Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection".SENSORS 18.10(2018):19.
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