[1] ZHANG S S,BENENSON R,SCHIELE B,et al.CityPersons:a diverse dataset for pedestrian detection[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:4457-4465. [2] XUE Lixia,ZHONG Xin,WANG Ronggui,et al.Mid-low resolution vehicle type recognition based on deep feature fusion[J].Computer Engineering,2019,45(1):233-238,245.(in Chinese) 薛丽霞,钟欣,汪荣贵,等.基于深度特征融合的中低分辨率车型识别[J].计算机工程,2019,45(1):233-238,245. [3] LI Hongyan,LI Chungeng,AN Jubai,et al.Attention mechanism improves CNN remote sensing[J].Journal of Image and Graphics,2019,24(8):1400-1408.(in Chinese) 李红艳,李春庚,安居白,等.注意力机制改进卷积神经网络的遥感图像目标检测[J].中国图象图形学报,2019,24(8):1400-1408. [4] REN S,GIRSHICK R,GIRSHICK R,et al.Faster R-CNN:towards real-time object detection with region proposal networks[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2017,39(6):1137-1149. [5] HE Kaiming,ZHANG Xiangyu,REN Shaoqing,et al.Spatial pyramid pooling in deep convolutional networks for visual recognition[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2014,37(9):1904-1916. [6] GIRSHICK R.Fast R-CNN[EB/OL].[2019-05-10].https://arxiv.org/pdf/1504.08083.pdf. [7] DAI Jifeng,LI Yi,HE Kaiming,et al.R-FCN:object detection via region-based fully convolutional networks[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:379-387. [8] REDMON J,FARHADI A.YOLOv3:an incremental improvement[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2018:1-6. [9] JIAO Tianchi,LI Qiang,LIN Maosong,et al.Target detection method combining inverted residual block and YOLOv3[J].Transducer and Microsystem Technologies,2019,38(9):144-146,156.(in Chinese) 焦天驰,李强,林茂松,等.结合反残差块和YOLOv3的目标检测法[J].传感器与微系统,2019,38(9):144-146,156. [10] LIU W,ANGUELOV D,ERHAN D,et al.SSD:single shot multibox detector[C]//Proceedings of the 14th European Conference on Computer Vision.Amsterdam,the Netherlands:[s.n.],2016:21-37. [11] LIN T Y,GOYAL P,GIRSHICK R,et al.Focal loss for dense object detection[C]//Proceedings of 2017 IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:2999-3007. [12] ZHANG Liliang,LIN Liang,LIANG Xiaodan,et al.Is Faster R-CNN doing well for pedestrian detection?[C]//Proceedings of European Conference on Computer Vision.Berlin,Germany:Springer,2016:443-457. [13] LI Jianan,LIANG Xiaodan,SHEN Shengmei,et al.Scale-aware Fast R-CNN for pedestrian detection[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:1-6. [14] CAI Z W,FAN Q F,FERIS R S,et al.A unified multi-scale deep convolutional neural network for fast object detection[C]//Proceedings of the 14th European Conference on Computer Vision.Amsterdam,the Netherlands:[s.n.],2016:354-370. [15] MAO Jiayuan,XIAO Tete,JIANG Yuning,et al.What can help pedestrian detection?[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2017:1-5. [16] LI Chengyang,SONG Dan,TONG Ruofeng,et al.Illumination-aware Faster R-CNN for robust multispectral pedestrian detection[EB/OL].[2019-05-10].https://arxiv.org/pdf/1803.05347.pdf. [17] LIU Songtao,HUANG Di,WANG Yunhong.Adaptive NMS:refining pedestrian detection in a crowd[EB/OL].[2019-05-10].https://arxiv.org/pdf/1904.03629v1.pdf. [18] KULKARNI A,CALLAN J.Selective search[J].ACM Transactions on Information Systems,2015,33(4):1-33. [19] GIRSHICK R,DONAHUE J,DARRELLAND T,et al.Rich feature hierarchies for object detection and semantic segmentation[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2014:1-5. [20] SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[EB/OL].[2019-05-10].https://arxiv.org/pdf/1409.1556.pdf. [21] HE K,GKIOXARI G,DOLLAR P,et al.Mask R-CNN[C]//Proceedings of 2017 IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:1-12. [22] SHI W,CABALLERO J,THEIS L,et al.Is the deconvolution layer the same as a convolutional layer?[EB/OL].[2019-05-10].https://arxiv.org/ftp/arxiv/papers/1609/1609.07009.pdf. [23] IOFFE S,SZEGEDY C.Batch normalization:accelerating deep network training by reducing internal covariate shift[C]//Proceedings of International Conference on International Conference on Machine Learning.Miami,USA:[s.n.],2015:1-11. [24] 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.Washington D.C.,USA:IEEE Press,2017:5562-5570. |