An optimization high-resolution network for human pose recognition based on attention mechanism

Author:

Yang Jinlong,Feng Yu

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference36 articles.

1. Peng C (2015) Pose Estimation Using Local Adjustment with Mixtures-of-parts Models. J Fiber Bioeng Informat 8(2):249–258

2. Bin X, Haiping W, Yichen W (2018) Simple Baselines for Human Pose Estimation and Tracking. Proc Eur Conference Comput Vis:1208-1215

3. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. Proc IEEE Comput Soc Conference Comput Vis Pattern Recog 1:886–893

4. Sang S, Huang Z, Kang Z (2018) A Human Activity Recognition Method using the Maximum Optical Flow based Feature Bounding Box. Proc Int Conference Machine Learn Compu:1330-1337

5. Wu Y, Wei L, Duan Y (2021) Deep spatiotemporal LSTM network with temporal pattern feature for 3D human action recognition. Comput Intell 99:11–23

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