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Human pose estimation using deep learning: review, methodologies, progress and future research directions
Human pose estimation (HPE) has developed over the past decade into a vibrant field for
research with a variety of real-world applications like 3D reconstruction, virtual testing and re …
research with a variety of real-world applications like 3D reconstruction, virtual testing and re …
FALLNET: A Deep Learning Model for Fall Detection using improved CNN-Attention-LSTM
R Li, W Ge, C Fan, Y Wang… - … Conference on Cyber …, 2023 - ieeexplore.ieee.org
As the aging population continues to grow, fall detection has become a key issue in public
health and healthcare. To address the problem of low accuracy and poor real-time …
health and healthcare. To address the problem of low accuracy and poor real-time …
Local Feature Enhancement for Robust 2D Multi-Person Pose Estimation via Posture Refinement Network
W Tian, J Zhan, Z Guan, C Yi, F Lei, X Liu, H Li, Y Zeng - 2024 - researchsquare.com
Accurate 2D multi-person pose estimation remains challenging due to issues such as
occlusion, missing body parts, and low resolution, particularly in complex backgrounds. This …
occlusion, missing body parts, and low resolution, particularly in complex backgrounds. This …
An Improved Concat Module Based on HRNet for 2D Multi-person Pose Estimation
Z Yue, L Ling, T Tan, H Huang, J Zhan… - … on Digital Home …, 2022 - ieeexplore.ieee.org
The existing shallow networks cannot solve the problem of insufficient cross between feature
information and insufficient semantic information for 2D human pose estimation task, while …
information and insufficient semantic information for 2D human pose estimation task, while …
用于课堂行为识别的轻量化姿态估计网络研究.
薛涛, 曹哲睿, 周千明 - Journal of **'an Polytechnic …, 2024 - search.ebscohost.com
摘要课堂行为识别需要模型具有较快的推理速度, 较少的参数量以及较好的模型鲁棒性.
现有轻量化模型虽然达到了不错的实时性能, 但其在面对课堂复杂场景时准确率较低 …
现有轻量化模型虽然达到了不错的实时性能, 但其在面对课堂复杂场景时准确率较低 …
A Cross Self-Attention Feature Fusion Module for Robust 2d Multiple Human Pose Estimation
J Zhan, Z Yue, W Tian, H Zhao, G **e, B Hu… - Available at SSRN … - papers.ssrn.com
The existing attention mechanism-based human pose estimation methods detect joints by
modeling the global context of key points and their surrounding pixels. However, due to high …
modeling the global context of key points and their surrounding pixels. However, due to high …