显著性偏振参量深度稀疏特征学习的目标检测方法 下载: 1132次
王美荣, 徐国明, 袁宏武. 显著性偏振参量深度稀疏特征学习的目标检测方法[J]. 激光与光电子学进展, 2019, 56(19): 191101.
Meirong Wang, Guoming Xu, Hongwu Yuan. Object Detection by Deep Sparse Feature Learning of Salient Polarization Parameters[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191101.
[1] 王小龙, 王峰, 刘晓, 等. 荒漠背景下典型伪装目标的高光谱偏振特性[J]. 激光与光电子学进展, 2018, 55(5): 051101.
[2] KrizhevskyA,[\s]{1}SutskeverI,[\s]{1}Hinton[\s]{1}GE.[\s]{1}ImageNet[\s]{1}classification[\s]{1}with[\s]{1}deep[\s]{1}convolutional[\s]{1}neural[\s]{1}networks[C]∥25th[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}Neural[\s]{1}Information[\s]{1}Processing[\s]{1}Systems,[\s]{1}December[\s]{1}3-6,[\s]{1}2012,[\s]{1}Lake[\s]{1}Tahoe,[\s]{1}Nevada.[\s]{1}New[\s]{1}York:[\s]{1}ACM,[\s]{1}2012:[\s]{1}1097-[\s]{1}1105.[\s]{1}
[3] GirshickR.[\s]{1}Fast[\s]{1}R-CNN[C]∥2015[\s]{1}IEEE[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}(ICCV),[\s]{1}December[\s]{1}7-13,[\s]{1}2015,[\s]{1}Santiago,[\s]{1}Chile.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2015:[\s]{1}1440-[\s]{1}1448.[\s]{1}
[4] GirshickR,[\s]{1}DonahueJ,[\s]{1}DarrellT,[\s]{1}et[\s]{1}al.[\s]{1}Rich[\s]{1}feature[\s]{1}hierarchies[\s]{1}for[\s]{1}accurate[\s]{1}object[\s]{1}detection[\s]{1}and[\s]{1}semantic[\s]{1}segmentation[C]∥2014[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}June[\s]{1}23-28,[\s]{1}2014,[\s]{1}Columbus,[\s]{1}OH,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2014:[\s]{1}580-[\s]{1}587.[\s]{1}
[5] Canny J. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(6): 679-698.
[6] Rosten E, Porter R, Drummond T. Faster and better: a machine learning approach to corner detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1): 105-119.
[8] DalalN,[\s]{1}TriggsB.[\s]{1}Histograms[\s]{1}of[\s]{1}oriented[\s]{1}gradients[\s]{1}for[\s]{1}human[\s]{1}detection[C]∥2005[\s]{1}IEEE[\s]{1}Computer[\s]{1}Society[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}20-25,[\s]{1}2005,[\s]{1}San[\s]{1}Diego,[\s]{1}CA,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2005:[\s]{1}886-[\s]{1}893.[\s]{1}
[9] 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.
[10] Yan[\s]{1}JJ,[\s]{1}Zhang[\s]{1}XC,[\s]{1}LeiZ,[\s]{1}et[\s]{1}al.[\s]{1}Robust[\s]{1}multi-resolution[\s]{1}pedestrian[\s]{1}detection[\s]{1}in[\s]{1}traffic[\s]{1}scenes[C]∥2013[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}June[\s]{1}23-28,[\s]{1}2013,[\s]{1}Portland,[\s]{1}OR,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2013:[\s]{1}3033-[\s]{1}3040.[\s]{1}
[11] 李敬轩, 宗群. 基于多特征和局部联合稀疏表示的目标跟踪[J]. 激光与光电子学进展, 2017, 54(10): 101502.
[12] AndrilukaM,[\s]{1}IqbalU,[\s]{1}InsafutdinovE,[\s]{1}et[\s]{1}al.[\s]{1}Pose[\s]{1}Track:[\s]{1}a[\s]{1}benchmark[\s]{1}for[\s]{1}human[\s]{1}pose[\s]{1}estimation[\s]{1}and[\s]{1}tracking[C]∥2018[\s]{1}IEEE/CVF[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}June[\s]{1}18-23,[\s]{1}2018,[\s]{1}Salt[\s]{1}Lake[\s]{1}City,[\s]{1}UT,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2018:[\s]{1}5167-[\s]{1}5176.[\s]{1}
[13] 黄凯奇, 任伟强, 谭铁牛. 图像物体分类与检测算法综述[J]. 计算机学报, 2014, 37(6): 1225-1240.
Huang K Q, Ren W Q, Tan T N. A review on image object classification and detection[J]. Chinese Journal of Computers, 2014, 37(6): 1225-1240.
[15] Feng Z Z, Yang M, Zhang L, et al. Joint discriminative dimensionality reduction and dictionary learning for face recognition[J]. Pattern Recognition, 2013, 46(8): 2134-2143.
[18] 陈兵, 查宇飞, 李运强, 等. 基于卷积神经网络判别特征学习的行人重识别[J]. 光学学报, 2018, 38(7): 0720001.
[19] RamirezI,[\s]{1}SprechmannP,[\s]{1}SapiroG.[\s]{1}Classification[\s]{1}and[\s]{1}clustering[\s]{1}via[\s]{1}dictionary[\s]{1}learning[\s]{1}with[\s]{1}structured[\s]{1}incoherence[\s]{1}and[\s]{1}shared[\s]{1}features[C]∥2010[\s]{1}IEEE[\s]{1}Computer[\s]{1}Society[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}June[\s]{1}13-18,[\s]{1}2010,[\s]{1}San[\s]{1}Francisco,[\s]{1}CA,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2010:[\s]{1}3501-[\s]{1}3508.[\s]{1}
[21] Gu[\s]{1}SH,[\s]{1}ZhangL,[\s]{1}Zuo[\s]{1}WM,[\s]{1}et[\s]{1}al.[\s]{1}Projective[\s]{1}dictionary[\s]{1}pair[\s]{1}learning[\s]{1}for[\s]{1}pattern[\s]{1}classification[C]∥27th[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}Neural[\s]{1}Information[\s]{1}Processing[\s]{1}Systems,[\s]{1}December[\s]{1}8-13,[\s]{1}2014,[\s]{1}Montreal,[\s]{1}Canada.[\s]{1}Canada:[\s]{1}NIPS,[\s]{1}2014:[\s]{1}793-[\s]{1}801.[\s]{1}
[22] 刘峰, 沈同圣, 娄树理, 等. 全局模型和局部优化的深度网络显著性检测[J]. 光学学报, 2017, 37(12): 1215005.
[23] Mesiar R. Fuzzy measures and integrals[J]. Fuzzy Sets and Systems, 2005, 156(3): 365-370.
[24] Wang[\s]{1}KZ,[\s]{1}LinL,[\s]{1}Zuo[\s]{1}WM,[\s]{1}et[\s]{1}al.[\s]{1}Dictionary[\s]{1}pair[\s]{1}classifier[\s]{1}driven[\s]{1}convolutional[\s]{1}neural[\s]{1}networks[\s]{1}for[\s]{1}object[\s]{1}detection[C]∥2016[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}27-30,[\s]{1}2016,[\s]{1}Las[\s]{1}Vegas,[\s]{1}NV,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2016:[\s]{1}2138-[\s]{1}2146.[\s]{1}
[26] Cun[\s]{1}YL,[\s]{1}BoserB,[\s]{1}Denker[\s]{1}JS,[\s]{1}et[\s]{1}al.[\s]{1}Handwritten[\s]{1}digit[\s]{1}recognition[\s]{1}with[\s]{1}a[\s]{1}back-propagation[\s]{1}network[M][\s]{1}∥Touretzky[\s]{1}D[\s]{1}S.[\s]{1}Advances[\s]{1}in[\s]{1}neural[\s]{1}information[\s]{1}processing[\s]{1}systems[\s]{1}2.[\s]{1}San[\s]{1}Francisco:[\s]{1}Morgan[\s]{1}Kaufmann[\s]{1}Publishers[\s]{1}Inc.,[\s]{1}1989:[\s]{1}396-[\s]{1}404.[\s]{1}
王美荣, 徐国明, 袁宏武. 显著性偏振参量深度稀疏特征学习的目标检测方法[J]. 激光与光电子学进展, 2019, 56(19): 191101. Meirong Wang, Guoming Xu, Hongwu Yuan. Object Detection by Deep Sparse Feature Learning of Salient Polarization Parameters[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191101.