A Weakly Supervised Learning Framework Utilizing Enhanced Class Activation Map for Object Detection in Construction Sites

Computer vision has emerged as a promising tool for improving safety at construction sites through automatic scene recognition. However, traditional approaches require significant labor-intensive and time-consuming efforts for annotations. Although weakly supervised learning has the advantage of loc...

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Bibliographic Details
Published in:	IEEE access Vol. 12; pp. 99989 - 100004
Main Authors:	Yang, Jaehun, Lee, Eunju, Kwon, Junehyoung, Lee, Dongmin, Kim, Youngbin, Park, Chansik, Lee, Doyeop
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Annotations Background noise class activation map Computer vision Construction accidents & safety Construction sites Hazards Image analysis Ladders Localization Location awareness Monitoring Object detection Object recognition Occupational safety Personal protective equipment Robustness Safety safety monitoring scene recognition Supervised learning weakly supervised learning
Online Access:	Get full text
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