Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices

6 June 2021

Papers citing "Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices"

12 / 12 papers shown

Title
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 ... Sijia Liu Kaiyuan Yang Bin Ren Yanzhi Wang Xue Lin MQ 56 27 0 01 Dec 2020
Real-Time Execution of Large-scale Language Models on Mobile Wei Niu Zhenglun Kong Geng Yuan Weiwen Jiang Jiexiong Guan Caiwen Ding Pu Zhao Sijia Liu Bin Ren Yanzhi Wang MQ 48 7 0 15 Sep 2020
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation Christopher Neff A. Sheth Steven Furgurson Hamed Tabkhi 3DH 40 27 0 16 Jul 2020
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Bowen Cheng Bin Xiao Jingdong Wang Humphrey Shi Thomas S. Huang Lei Zhang 3DH 63 676 0 27 Aug 2019
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields Zhe Cao Gines Hidalgo Tomas Simon S. Wei Yaser Sheikh 3DH CVBM 121 4,587 0 18 Dec 2018
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose D. Osokin 3DH 53 293 0 29 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Yang He Ping Liu Ziwei Wang Zhilan Hu Yi Yang AAML 3DPC 90 1,048 0 01 Nov 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model George Papandreou Tyler Lixuan Zhu Liang-Chieh Chen Spyros Gidaris Jonathan Tompson Kevin Patrick Murphy 40 546 0 22 Mar 2018
RMPE: Regional Multi-person Pose Estimation Haoshu Fang Shuqin Xie Yu-Wing Tai Cewu Lu 3DH 115 1,585 0 01 Dec 2016
Associative Embedding: End-to-End Learning for Joint Detection and Grouping Alejandro Newell Zhiao Huang Jia Deng 86 920 0 16 Nov 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 253 8,832 0 01 Oct 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 408 43,619 0 01 May 2014