[1] |
SUDOWE P,SPITZER H,LEIBE B.Person attribute recognition with a jointly-trained holistic CNN model[C]//Proceedings of 2015 IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2015:87-95.
|
[2] |
ZHANG N,PALURI M,RANZATO M,et al.PANDA:pose aligned networks for deep attribute modeling[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2014:1637-1644.
|
[3] |
FABBRI M,CALDERARA S,CUCCHIARA R.Genera-tive adversarial models for people attribute recogni-tion in surveillance[C]//Proceedings of 2017 IEEE International Conference on Advanced Video and Signal Based Surveillance.Washington D.C.,USA:IEEE Press,2017:1-6.
|
[4] |
SUDOWE P,LEIBE B.PatchIt:self-supervised network weight initialization for fine-grained recognition[C]//Pro-ceedings of British Machine Vision Conference.New York,USA:ACM Press,2016:24-30.
|
[5] |
LI Y N,HUANG C,LOY C C,et al.Human attribute recognition by deep hierarchical contexts[M].Berlin,Germany:Springer,2016.
|
[6] |
ZHU Jianqing,LIAO Shengcai,YI Dong,et al.Multi-label CNN based pedestrian attribute learning for soft biometrics[C]//Proceedings of 2015 International Conference on Biometrics.Washington D.C.,USA:IEEE Press,2015:535-540.
|
[7] |
LI Dangwei,ZHANG Zhang,CHEN Xiaotang,et al.A richly annotated dataset for pedestrian attribute recognition[EB/OL].[2019-12-10].https://arxiv.org/abs/1603.07054.
|
[8] |
WANG Feng,LIU Qingshan.Fine pedestrians recognition based on double convolutional neural network[J].China Sciencepaper,2017(14):17-21.(in Chinese)王枫,刘青山.基于双卷积神经网络的行人精细化识别[J].中国科技论文,2017(14):17-21.
|
[9] |
LIU Xihui,ZHAO Haiyu,TIAN Maoqing,et al.HydraPlus-Net:attentive deep features for pedestrian analysis[C]//Proceedings of 2017 IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:350-359.
|
[10] |
SARAFIANOS N,XU X,KAKADIARIS I A.Deep imbalanced attribute classification using visual attention aggregation[M].Berlin,Germany:Springer,2018.
|
[11] |
SAQUIB M S,SCHUMANN A,WANG Y,et al.Deep view-sensitive pedestrian attribute inference in an end-to-end model[C]//Proceedings of British Machine Vision Conference.Washington D.C.,USA:IEEE Press,2017:159-168.
|
[12] |
HE Kaiming,ZHANG Xiangyu,REN Shaoqing,et al.Deep residual learning for image recognition[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2016:770-778.
|
[13] |
DENG Y B,LUO P,LOY C C,et al.Pedestrian attribute recognition at far distance[C]//Proceedings of the 22nd ACM International Conference on Multimedia.New York,USA:ACM Press,2014:789-792.
|
[14] |
LI Dangwei,ZHANG Zhang,CHEN Xiaotang,et al.A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios[J].IEEE Transactions on Image Processing,2019,28(4):1575-1590.
|
[15] |
HUANG Zhanchao,WANG Jianlin.DC-SPP-YOLO:dense connection and spatial pyramid pooling based YOLO for object detection[J].Information Sciences,2020,522:241-258.
|
[16] |
HU J,SHEN L,SUN G.Squeeze-and-excitation networks[C]//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2018:7132-7141.
|
[17] |
WOO S,PARK J,LEE J Y,et al.CBAM:convolutional block attention module[M].Berlin,Germany:Springer,2018.
|
[18] |
HE Keke,WANG Zhanxiong,FU Yanwei,et al.Adaptively weighted multi-task deep network for person attribute classification[C]//Proceedings of the 25th ACM International Conference on Multimedia.New York,USA:ACM Press,2017:1636-1644.
|
[19] |
LI Dangwei,CHEN Xiaotang,HUANG Kaiqi.Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios[C]//Proceedings of 2015 IAPR Asian Conference on Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:111-115.
|
[20] |
LI Dangwei,YU Kai,LENG Biao,et al.Weakly-supervised learning of mid-level features for pedestrian attribute recognition and localization[C]//Proceedings of British Machine Vision Conference.Washington D.C.,USA:IEEE Press,2017:15-26.
|
[21] |
WANG Jingya,ZHU Xiatian,GONG Shaogang,et al.Attribute recognition by joint recurrent learning of context and correlation[C]//Proceedings of 2017 IEEE Inter-national Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2017:531-540.
|
[22] |
ZHAO Xin,SANG Liufang,DING Guiguang,et al.Grouping attribute recognition for pedestrian with joint recurrent learning[EB/OL].[2019-12-10].https://www.ijcai.org/Proceedings/2018/0441.pdf.
|