Back to search

Article

A Multi-label Sewer Defects Classification Methodology Using Attention-based Dual Branch network

2024-01-05

Abstract excerpt

<title>Abstract</title> <p>The sewage system, essential for human welfare and ecological health, requires regular inspections to prevent defects such as cracks, deformation, joint displacement, etc. Traditionally, inspections have relied on Closed-Circuit TeleVision (CCTV), involving two stages: on-site video collection and time-consuming off-site video analysis. In this study, we propose a novel attention-based...

Topics

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

Identifiers and source

Literature Corpus work
11a515a7-bc43-5d4f-b4dd-944dc54a183b
DOI
10.21203/rs.3.rs-3824070/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.
A Multi-label Sewer Defects Classification Methodology Using Attention-based Dual Branch networkDOI 10.21203/rs.3.rs-3824070/v1
Select a neighboring publication to make it the new centre.