EfficientHRNet: Efficient and scalable high-resolution networks for real-time multi-person 2D human pose estimation

[1]  Yaser Sheikh,et al.  OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Yaser Sheikh,et al.  OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Yoshua Bengio,et al.  Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.

[4]  Honggang Qi,et al.  Multi-Scale Structure-Aware Network for Human Pose Estimation , 2018, ECCV.

[5]  Yang Zhao,et al.  Deep High-Resolution Representation Learning for Visual Recognition , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Xiaogang Wang,et al.  Learning Feature Pyramids for Human Pose Estimation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[7]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.

[8]  Iasonas Kokkinos,et al.  DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Jian Sun,et al.  ExFuse: Enhancing Feature Fusion for Semantic Segmentation , 2018, ECCV.

[10]  Georgios Tzimiropoulos,et al.  Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[11]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Jia Deng,et al.  Stacked Hourglass Networks for Human Pose Estimation , 2016, ECCV.

[13]  HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Xiaolin Hu,et al.  Interlinked Convolutional Neural Networks for Face Parsing , 2015, ISNN.

[15]  Zhiao Huang,et al.  Associative Embedding: End-to-End Learning for Joint Detection and Grouping , 2016, NIPS.

[16]  Emre Akbas,et al.  MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network , 2018, ECCV.

[17]  Jakob Verbeek,et al.  Convolutional Neural Fabrics , 2016, NIPS.

[18]  Peter V. Gehler,et al.  DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[19]  Yuning Jiang,et al.  Unified Perceptual Parsing for Scene Understanding , 2018, ECCV.

[20]  Dacheng Tao,et al.  A Coarse-Fine Network for Keypoint Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

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

[22]  Alex Krizhevsky,et al.  Learning Multiple Layers of Features from Tiny Images , 2009 .

[23]  Jonathan Tompson,et al.  Learning Human Pose Estimation Features with Convolutional Networks , 2013, ICLR.

[24]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[26]  Sham M. Kakade,et al.  The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure , 2019, NeurIPS.

[27]  Gang Yu,et al.  Cascaded Pyramid Network for Multi-person Pose Estimation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[28]  Antonio M. López,et al.  Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation , 2019, IEEE Transactions on Intelligent Transportation Systems.

[29]  Alexandre Alahi,et al.  PifPaf: Composite Fields for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[30]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[31]  Christian Szegedy,et al.  DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[32]  Xiangde Zhang,et al.  Lightweight densely connected residual network for human pose estimation , 2020, J. Real Time Image Process..

[33]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[34]  Yi Yang,et al.  Attention to Scale: Scale-Aware Semantic Image Segmentation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[35]  Jinjun Xiong,et al.  Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection , 2018, ArXiv.

[36]  Dong Liu,et al.  High-Resolution Representations for Labeling Pixels and Regions , 2019, ArXiv.

[37]  Jun Hu,et al.  DSPNet: A low computational-cost network for human pose estimation , 2021, Neurocomputing.

[38]  Dong Liu,et al.  Deep High-Resolution Representation Learning for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[39]  Sebastian Ruder,et al.  An overview of gradient descent optimization algorithms , 2016, Vestnik komp'iuternykh i informatsionnykh tekhnologii.

[40]  Georgios Tzimiropoulos,et al.  Human Pose Estimation via Convolutional Part Heatmap Regression , 2016, ECCV.

[41]  Quoc V. Le,et al.  EfficientDet: Scalable and Efficient Object Detection , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[42]  Jinjun Xiong,et al.  Revisiting RCNN: On Awakening the Classification Power of Faster RCNN , 2018, ECCV.

[43]  Kaiming He,et al.  Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[44]  Xiaolin Hu,et al.  Erratum to: Interlinked Convolutional Neural Networks for Face Parsing , 2015, ISNN 2015.

[45]  Luc Van Gool,et al.  Human Pose Estimation Using Body Parts Dependent Joint Regressors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[46]  Daniil Osokin,et al.  Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose , 2018, ICPRAM.

[47]  Kaiming He,et al.  Designing Network Design Spaces , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[48]  Lucia Melloni,et al.  Patient-Specific Pose Estimation in Clinical Environments , 2018, IEEE Journal of Translational Engineering in Health and Medicine.

[49]  Jonathan Tompson,et al.  Towards Accurate Multi-person Pose Estimation in the Wild , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[50]  Cewu Lu,et al.  RMPE: Regional Multi-person Pose Estimation , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

[51]  Yi Yang,et al.  Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.

[52]  Kilian Q. Weinberger,et al.  Multi-Scale Dense Convolutional Networks for Efficient Prediction , 2017, ArXiv.

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

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

[55]  Varun Ramakrishna,et al.  Convolutional Pose Machines , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[56]  Quoc V. Le,et al.  EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.

[57]  Bo Chen,et al.  MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.

[58]  Seunghoon Hong,et al.  Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[59]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[60]  Jonathan Tompson,et al.  PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model , 2018, ECCV.

[61]  Siwei Lyu,et al.  Multi-Scale Supervised Network for Human Pose Estimation , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

[62]  Hamed Tabkhi,et al.  REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking , 2019, IEEE Internet of Things Journal.

[63]  Juergen Gall,et al.  Multi-person Pose Estimation with Local Joint-to-Person Associations , 2016, ECCV Workshops.

[64]  Bernt Schiele,et al.  DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model , 2016, ECCV.

[65]  Guoxia Xu,et al.  DSPNet: A Lightweight Dilated Convolution Neural Networks for Spectral Deconvolution With Self-Paced Learning , 2020, IEEE Transactions on Industrial Informatics.