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 |
ISSN | 1424-8220 |
2018-10-01 | |
卷号 | 18期号:10页码:19 |
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 |
DOI | 10.3390/s18103415 |
关键词[WOS] | FEATURES |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Hundred-Talent Program of CAS ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDBS01040200] ; National Key Research and Development Program of China[2017YFA0105203] ; 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 |
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 |
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 |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
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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