[1]王照国,张红云,苗夺谦.基于F1值的非极大值抑制阈值自动选取方法[J].智能系统学报,2020,15(5):1006-1012.[doi:10.11992/tis.202006056]
 WANG Zhaoguo,ZHANG Hongyun,MIAO Duoqian.Automatic selection method of non-maximum suppression threshold based on F1 score[J].CAAI Transactions on Intelligent Systems,2020,15(5):1006-1012.[doi:10.11992/tis.202006056]
点击复制

基于F1值的非极大值抑制阈值自动选取方法

参考文献/References:
[1] FELZENSZWALB P F, GIRSHICK R B, MCALLESTER D, et al. Object detection with discriminatively trained part-based models[J]. IEEE transactions on pattern analysis and machine intelligence, 2010, 32(9): 1627-1645.
[2] HAN Junwei, ZHANG Dingwen, CHENG Gong, et al. Advanced deep-learning techniques for salient and category-specific object detection: a survey[J]. IEEE signal processing magazine, 2018, 35(1): 84-100.
[3] XIE Cihang, WANG Jianyu, ZHANG Zhishuai, et al. Adversarial examples for semantic segmentation and object detection[C]//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy, 2017: 1369-1378.
[4] BORJI A, CHENG Mingming, JIANG Huaizu, et al. Salient object detection: a benchmark[J]. IEEE transactions on image processing, 2015, 24(12): 5706-5722.
[5] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA, 2016: 779-788.
[6] LIU Wei, ANGUELOV D, ERHAN D, et al. SSD: single shot MultiBox detector[C]//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, the Netherlands, 2016: 21-37.
[7] REDMON J, FARHADI A. YOLOv3: an incremental improvement[J]. arXiv preprint arXiv: 1804.02767, 2018.
[8] GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA, 2014: 580-587.
[9] GIRSHICK R. Fast R-CNN[C]//Proceedings of 2015 IEEE International Conference on Computer Vision. Santiago, USA, 2015: 1440-1448.
[10] REN Shaoqing, HE Kaiming, GIRSHICK R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 39(6): 1137-1149.
[11] ROSENFELD A, THURSTON M. Edge and curve detection for visual scene analysis[J]. IEEE transactions on computers, 1971, C-20(5): 562-569.
[12] BODLA N, SINGH B, CHELLAPPA R, et al. Soft-NMS—improving object detection with one line of code[C]//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy, 2017: 5561-5569.
[13] HE Yihui, ZHU Chenchen, WANG Jianren, et al. Bounding box regression with uncertainty for accurate object detection[C]//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA, 2019: 2888-2897.
[14] 侯志强, 刘晓义, 余旺盛, 等. 基于双阈值-非极大值抑制的Faster R-CNN改进算法[J]. 光电工程, 2019, 46(12): 190159
HOU Zhiqiang, LIU Xiaoyi, YU Wangsheng, et al. Improved algorithm of Faster R-CNN based on double threshold-non-maximum suppression[J]. Opto-electronic engineering, 2019, 46(12): 190159
[15] 赵文清, 严海, 邵绪强. 改进的非极大值抑制算法的目标检测[J]. 中国图象图形学报, 2018, 23(11): 1676-1685
ZHAO Wenqing, YAN Hai, SHAO Xuqiang. Object detection based on improved non-maximum suppression algorithm[J]. Journal of image and graphics, 2018, 23(11): 1676-1685
[16] LIU Yuliang, JIN Lianwen, ZHANG Shuaitao, et al. Detecting curve text in the wild: new dataset and new solution[J]. arXiv preprint arXiv: 1712.02170, 2017.
[17] JIANG Borui, LUO Ruixuan, MAO Jiayuan, et al. Acquisition of localization confidence for accurate object detection[C]//Proceedings of the 15th European Conference on Computer Vision. Munich, Germany, 2018: 784-799.
[18] HOSANG J, BENENSON R, SCHIELE B. A Convnet for Non-maximum Suppression[C]//Proceedings of the 38th German Conference on Pattern Recognition. Hannover, Germany, 2016: 192-204.
[19] LIU Songtao, HUANG Di, WANG Yunhong. Adaptive NMS: refining pedestrian detection in a crowd[C]//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA, 2019: 6459-6468.
[20] EVERINGHAM M, VAN GOOL L, WILLIAMS C K I, et al. The PASCAL visual object classes (VOC) challenge[J]. International journal of computer vision, 2010, 88(2): 303-338.
[21] LIN T Y, MAIRE M, BELONGIE S, et al. Microsoft COCO: common objects in context[C]//Proceedings of the 13th European Conference on Computer Vision. Zurich, Switzerland, 2014: 740-755.
相似文献/References:
[1]夏 凡,王 宏.基于局部异常行为检测的欺骗识别研究[J].智能系统学报,2007,2(5):12.
 XIA Fan,WANG Hong.Methodologies for deception detection based on abnormal b ehavior[J].CAAI Transactions on Intelligent Systems,2007,2():12.
[2]杨 戈,刘 宏.视觉跟踪算法综述[J].智能系统学报,2010,5(2):95.
 YANG Ge,LIU Hong.Survey of visual tracking algorithms[J].CAAI Transactions on Intelligent Systems,2010,5():95.
[3]刘宏,李哲媛,许超.视错觉现象的分类和研究进展[J].智能系统学报,2011,6(1):1.
 LIU Hong,LI Zheyuan,XU Chao.The categories and research advances of visual illusions[J].CAAI Transactions on Intelligent Systems,2011,6():1.
[4]叶果,程洪,赵洋.电影中吸烟活动识别[J].智能系统学报,2011,6(5):440.
 YE Guo,CHENG Hong,ZHAO Yang.moking recognition in movies[J].CAAI Transactions on Intelligent Systems,2011,6():440.
[5]胡光龙,秦世引.动态成像条件下基于SURF和Mean shift的运动目标高精度检测[J].智能系统学报,2012,7(1):61.
 HU Guanglong,QIN Shiyin.High precision detection of a mobile object under dynamic imaging based on SURF and Mean shift[J].CAAI Transactions on Intelligent Systems,2012,7():61.
[6]史晓鹏,何为,韩力群.采用Hough变换的道路边界检测算法[J].智能系统学报,2012,7(1):81.
 SHI Xiaopeng,HE Wei,HAN Liqun.A road edge detection algorithm based on the Hough transform[J].CAAI Transactions on Intelligent Systems,2012,7():81.
[7]韩峥,刘华平,黄文炳,等.基于Kinect的机械臂目标抓取[J].智能系统学报,2013,8(2):149.[doi:10.3969/j.issn.1673-4785.201212038]
 HAN Zheng,LIU Huaping,HUANG Wenbing,et al.Kinect-based object grasping by manipulator[J].CAAI Transactions on Intelligent Systems,2013,8():149.[doi:10.3969/j.issn.1673-4785.201212038]
[8]顾照鹏,刘宏.单目视觉同步定位与地图创建方法综述[J].智能系统学报,2015,10(4):499.[doi:10.3969/j.issn.1673-4785.201503003]
 GU Zhaopeng,LIU Hong.A survey of monocular simultaneous localization and mapping[J].CAAI Transactions on Intelligent Systems,2015,10():499.[doi:10.3969/j.issn.1673-4785.201503003]
[9]赵军,於俊,汪增福.基于改进逆向运动学的人体运动跟踪[J].智能系统学报,2015,10(4):548.[doi:10.3969/j.issn.1673-4785.201403032]
 ZHAO Jun,YU Jun,WANG Zengfu.Human motion tracking based on an improved inverse kinematics[J].CAAI Transactions on Intelligent Systems,2015,10():548.[doi:10.3969/j.issn.1673-4785.201403032]
[10]韩延彬,郭晓鹏,魏延文,等.RGB和HSI颜色空间的一种改进的阴影消除算法[J].智能系统学报,2015,10(5):769.[doi:10.11992/tis.201410010]
 HAN Yanbin,GUO Xiaopeng,WEI Yanwen,et al.An improved shadow removal algorithm based on RGB and HSI color spaces[J].CAAI Transactions on Intelligent Systems,2015,10():769.[doi:10.11992/tis.201410010]
[11]张新钰,邹镇洪,李志伟,等.面向自动驾驶目标检测的深度多模态融合技术[J].智能系统学报,2020,15(4):758.[doi:10.11992/tis.202002010]
 ZHANG Xinyu,ZOU Zhenhong,LI Zhiwei,et al.Deep multi-modal fusion in object detection for autonomous driving[J].CAAI Transactions on Intelligent Systems,2020,15():758.[doi:10.11992/tis.202002010]
[12]苏丽,孙雨鑫,苑守正.基于深度学习的实例分割研究综述[J].智能系统学报,2022,17(1):16.[doi:10.11992/tis.202109043]
 SU Li,SUN Yuxin,YUAN Shouzheng.A survey of instance segmentation research based on deep learning[J].CAAI Transactions on Intelligent Systems,2022,17():16.[doi:10.11992/tis.202109043]

备注/Memo

收稿日期:2020-06-30。
基金项目:国家自然科学基金项目(61573255,61976158,61673301);国家重点研发计划项目(213)
作者简介:王照国,硕士研究生,主要研究方向为目标检测、深度学习、粒计算;张红云,副教授,博士生导师,博士,主要研究方向为主曲线算法、粒计算、模糊集。发表学术论文近50篇;苗夺谦,教授,博士生导师,博士,主要研究方向为人工智能、机器学习、大数据分析、粒计算。授权专利9项,发表学术论文180余篇,出版教材和学术著作9部
通讯作者:张红云.E-mail:zhanghongyun@tongji.edu.cn

更新日期/Last Update: 2021-01-15
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134