Human Body Multiple Parts Parsing for Person Reidentification Based on Xception

College of Computer Science and Technology, China University of Petroleum, Qingdao, Shandong, China College of Control Science and Engineering, China University of Petroleum, Qingdao, Shandong, China College of Mechanical Engineering, Tiangong University, Tianjin, China College of Software, Shandong University, Jinan, Shandong, China School of Science and Technology, Middlesex University, The Burroughs, Hendon, London

[1]  Li Fei-Fei,et al.  ImageNet: A large-scale hierarchical image database , 2009, CVPR.

[2]  Gautam Srivastava,et al.  Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques , 2019, IEEE Access.

[3]  Xiaogang Wang,et al.  DeepReID: Deep Filter Pairing Neural Network for Person Re-identification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Fabien Moutarde,et al.  Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences , 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

[6]  Xiaogang Wang,et al.  HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[7]  Xiaogang Wang,et al.  Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[8]  Jinxing Cheng,et al.  Multi-Scale Body-Part Mask Guided Attention for Person Re-Identification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[9]  George Papandreou,et al.  Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.

[10]  Muhittin Gokmen,et al.  Human Semantic Parsing for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[11]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[12]  Arun Kumar Sangaiah,et al.  An intelligent learning approach for improving ECG signal classification and arrhythmia analysis , 2020, Artif. Intell. Medicine.

[13]  David A. McAllester,et al.  Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Gautam Srivastava,et al.  Automatic recognition algorithm of traffic signs based on convolution neural network , 2020, Multimedia Tools and Applications.

[15]  Fadi Al-Turjman,et al.  Applications of Artificial Intelligence and Machine learning in smart cities , 2020, Comput. Commun..

[16]  Jian Dong,et al.  Deep Human Parsing with Active Template Regression , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Xiong Chen,et al.  Learning Discriminative Features with Multiple Granularities for Person Re-Identification , 2018, ACM Multimedia.

[18]  Yun Fu,et al.  Residual Dense Network for Image Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[19]  Wen Gao,et al.  Attention Driven Person Re-identification , 2018, Pattern Recognit..

[20]  Xiaochun Cheng,et al.  VGG16-T: A Novel Deep Convolutional Neural Network with Boosting to Identify Pathological Type of Lung Cancer in Early Stage by CT Images , 2020, Int. J. Comput. Intell. Syst..

[21]  Hantao Yao,et al.  Deep Representation Learning With Part Loss for Person Re-Identification , 2017, IEEE Transactions on Image Processing.

[22]  Liang Wang,et al.  Mask-Guided Contrastive Attention Model for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[23]  François Chollet,et al.  Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  Jian Sun,et al.  AlignedReID: Surpassing Human-Level Performance in Person Re-Identification , 2017, ArXiv.

[25]  Liang Zheng,et al.  Improving Person Re-identification by Attribute and Identity Learning , 2017, Pattern Recognit..

[26]  Xiaogang Wang,et al.  Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Sergey Ioffe,et al.  Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[28]  Qi Tian,et al.  Scalable Person Re-identification: A Benchmark , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[29]  Matthew D. Zeiler.  ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.

[30]  Kaiqi Huang,et al.  Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[31]  Gang Wang,et al.  Gated Siamese Convolutional Neural Network Architecture for Human Re-identification , 2016, ECCV.

[32]  Andrew Zisserman,et al.  Spatial Transformer Networks , 2015, NIPS.

[33]  Arun Kumar Sangaiah,et al.  Arrhythmia identification and classification using wavelet centered methodology in ECG signals , 2020, Concurr. Comput. Pract. Exp..

[34]  Xiaogang Wang,et al.  Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[35]  Nanning Zheng,et al.  Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[36]  Shaogang Gong,et al.  Harmonious Attention Network for Person Re-identification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[37]  Qi Tian,et al.  Part-Based Deep Hashing for Large-Scale Person Re-Identification , 2017, IEEE Transactions on Image Processing.

[38]  Qi Tian,et al.  Beyond Part Models: Person Retrieval with Refined Part Pooling , 2017, ECCV.

[39]  Sergey Ioffe,et al.  Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.

[40]  Pan Zheng,et al.  An Improved Convolutional Network Architecture Based on Residual Modeling for Person Re-Identification in Edge Computing , 2019, IEEE Access.

[41]  Alessandro Perina,et al.  Person re-identification by symmetry-driven accumulation of local features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[42]  Tetsu Matsukawa,et al.  Person re-identification using CNN features learned from combination of attributes , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).