A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach

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Vydáno v:	SHS Web of Conferences Ročník 139; s. 03002
Hlavní autoři:	Ramli Musa, Mohamed Hamada, Mohammed Hassan
Médium:	Journal Article
Jazyk:	japonština
Vydáno:	EDP Sciences 01.01.2022
Témata:	Anomaly detection Anomaly Detection in High-Dimensional Data Artificial intelligence Automated Pavement Inspection and Maintenance Civil and Structural Engineering Cloud computing Computer science Computer security Computer Vision and Pattern Recognition Deep Learning Deep Learning in Computer Vision and Image Recognition Defect Detection Edge device Engineering Enhanced Data Rates for GSM Evolution FOS: Earth and related environmental sciences Geology H knowledge distillation model compression Object detection Operating system Outlier Detection Pattern recognition (psychology) Petrology Physical Sciences Pothole (geology) pothole detection SAFER Simulation Social Sciences
ISSN:	2261-2424
On-line přístup:	Získat plný text
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ISSN:	2261-2424
DOI:	10.60692/g63pe-bxy22