Back to search

Article

HSMTL-Net: A Multi-Task Learning Framework for Human Segmentation with Integrated Regression and Classification Modules

2025-02-03

Abstract excerpt

<title>Abstract</title> <p>Human segmentation is a critical task in computer vision, with many applications in different fields. In this paper, we propose a novel multi-task learning approach, called HSMTL-Net, for human segmentation that incorporates classification and regression tasks along with segmentation. The proposed model is inspired with the U-Net architecture but with less layers and same depth features...

Topics

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

Identifiers and source

Literature Corpus work
289b0cf7-6dac-5693-bc6a-79108babd4cc
DOI
10.21203/rs.3.rs-5919455/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.
HSMTL-Net: A Multi-Task Learning Framework for Human Segmentation with Integrated Regression and Classification ModulesDOI 10.21203/rs.3.rs-5919455/v1
Select a neighboring publication to make it the new centre.