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The rapid development of autonomous driving, abnormal behavior detection, and behavior recognition makes an increasing demand for multi-person pose estimation-based applications, especially on mobile platforms.
Microsoft coco: Common objects in context
Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Dollár Tsung-Yi Lin, Michael Maire · 2014
Earlier work this paper cites.
Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
Song Han, Huizi Mao, and William J. Dally · 2016
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Associative embedding: Endto-end learning for joint detection and grouping
Jia Deng Alejandro Newell, Zhiao Huang · 2017
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RMPE: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
Earlier work this paper cites.
Real-time 2d multi-person pose estimation on cpu: Lightweight openpose
Daniil Osokin · 2018
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Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, and Kevin Murphy · 2018
Earlier work this paper cites.
Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh · 2019
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Filter pruning via geometric median for deep convolutional neural networks acceleration
Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, and Yi Yang · 2019
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Deep highresolution representation learning for human pose estimation
Tianheng Cheng Borui Jiang Chaorui Deng Yang Zhao Dong Liu Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Jingdong Wang, Ke Sun and Bin Xiao · 2019
Cited alongside, same era.
Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation
Jingdong Wang Honghui Shi Thomas S. Huang Lei Zhang Bowen Cheng, Bin Xiao · 2020
Cited alongside, same era.
Yolobile: Real-time object detection on mobile devices via compression-compilation co-design
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, and Yanzhi Wang · 2020
Cited alongside, same era.
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, and Yanzhi Wang · 2020
Later among the works it cites.
Achieving real-time lidar 3d object detection on a mobile device
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, et al · 2020
Later among the works it cites.
Real-time mobile acceleration of dnns: From computer vision to medical applications
Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, and Yanzhi Wang · 2021
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Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration
Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, and Xue Lin · 2021
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Efficienthrnet: Efficient scaling for lightweight high-resolution multi-person pose estimation
Steven Furgurson Hamed Tabkhi Christopher Neff, Aneri Sheth · 2020
Cited alongside, same era.
Clicktrain: Efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, et al · 2021
Closest in time.