Multi-modal deep learning networks for RGB-D pavement waste detection and recognition

Yangke Li; Xinman Zhang

doi:10.1016/j.wasman.2024.01.047

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-modal deep learning networks for RGB-D pavement waste detection and recognition

Yangke Li Xinman Zhang

Year: 2024 Journal: Waste Management Vol: 177 Pages: 125-134 Publisher: Elsevier BV

DOI: 10.1016/j.wasman.2024.01.047

Get Full-Text PDF Get Analytical Report

Keywords:

Modal Deep learning RGB color model Environmental science Artificial intelligence Waste management Engineering Computer science Pattern recognition (psychology) Materials science Composite material

Metrics

Cited By

7.86

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Multi-modal deep learning networks for RGB-D pavement waste detection and recognition

Metrics

Citation History

Topics

Related Documents

Multi-modal deep feature learning for RGB-D object detection

Large-Margin Multi-Modal Deep Learning for RGB-D Object Recognition

RGB-D based multi-modal deep learning for spacecraft and debris recognition

RGB-D based multi-modal deep learning for spacecraft and debris recognition

RGB-D based multi-modal deep learning for spacecraft and debris recognition