Back to search

Article

SRHPENet: Super-Resolution Network for human pose estimation

2024-11-06

Abstract excerpt

<title>Abstract</title> <p>Human pose estimation is a basic task in the field of computer vision, so improving recognition accuracy is of great significance for advanced computer vision tasks. At present, there are many methods to solve the human pose estimation task of high-resolution images, and have achieved excellent results. However, current high-resolution human pose estimation methods still face two proble...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f7e23749-1954-5ad8-9c97-5481846fd7dc
DOI
10.21203/rs.3.rs-5335065/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
SRHPENet: Super-Resolution Network for human pose estimationDOI 10.21203/rs.3.rs-5335065/v1
Select a neighboring publication to make it the new centre.