A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach
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| Published in: | SHS Web of Conferences Vol. 139; p. 03002 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | Japanese |
| Published: |
EDP Sciences
01.01.2022
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| Subjects: | |
| ISSN: | 2261-2424 |
| Online Access: | Get full text |
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| Author | Mohamed Hamada Ramli Musa Mohammed Hassan |
|---|---|
| Author_xml | – sequence: 1 fullname: Ramli Musa – sequence: 2 fullname: Mohamed Hamada – sequence: 3 fullname: Mohammed Hassan |
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| SubjectTerms | 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 |
| Title | A Theoretical Framework Towards Building a Lightweight Model for Pothole Detection using Knowledge Distillation Approach |
| URI | https://cir.nii.ac.jp/crid/1871146592896674944 |
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