Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Decoding the association between microorganisms and autoimmunity: a multifaceted review of evidence on specific pathogens that trigger autoimmune diseases.

Clinical and experimental medicine·2026

Same author

Lung cancer multimodal auxiliary diagnosis based on entropy weight decision fusion.

Biomedical engineering online·2026

Same author

From Exploration to Production: A Systematic Review of Natural Gas Hydrate Technologies.

ACS omega·2026

Same author

Preliminary study on symptoms and signs of patients with laryngopharyngeal reflux disease infected with <i>Helicobacter pylori</i>.

Experimental and therapeutic medicine·2026

Same author

A backstepping control of artificial pancreas for type 1 diabetes based on sub-fixed-time stability.

Frontiers in endocrinology·2026

Same author

DUSP26: Unveiling a critical molecular mediator and therapeutic target in developmental dysplasia of the hip‑associated secondary osteoarthritis.

International journal of molecular medicine·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 16, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

SSA Net: Small Scale-Aware Enhancement Network for Human Pose Estimation.

Shaohua Li¹, Haixiang Zhang¹, Hanjie Ma¹

¹School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.

Sensors (Basel, Switzerland)

|September 9, 2023

Summary

This summary is machine-generated.

This study introduces SSA Net, a novel approach for human pose estimation that significantly improves the detection of small-scale persons by abandoning traditional heatmap methods. SSA Net utilizes coordinate vector regression for enhanced accuracy across all person sizes.

Keywords:

keypoint detection pose estimation scale-aware enhancement

More Related Videos

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Jul 16, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Area of Science:

Computer Vision
Machine Learning
Artificial Intelligence

Background:

Heatmap-based methods dominate human pose estimation but struggle with small-scale persons.
Existing solutions for small-person pose estimation are limited by their reliance on heatmap techniques.

Purpose of the Study:

To develop a human pose estimation method that excels at detecting small-scale persons.
To maintain balanced performance across various person scales.
To overcome the limitations of heatmap-based approaches.

Main Methods:

Proposed SSA Net, utilizing HRNetW48 as a feature extractor.
Introduced the TDAA module to improve small-scale perception.
Replaced heatmap-based methods with coordinate vector regression for keypoint representation.

Main Results:

SSA Net achieved 77.4% AP on the COCO Validation dataset, outperforming existing heatmap-based methods.
Demonstrated superior performance in detecting small-scale persons.
Achieved competitive results on the Tiny Validation and MPII datasets.

Conclusions:

SSA Net offers a significant advancement in human pose estimation, particularly for small-scale individuals.
Coordinate vector regression proves effective in overcoming heatmap limitations.
The proposed method provides a balanced and accurate solution for pose estimation across diverse scales.