Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS（2024）
Key words
Behavioral sciences,Vehicles,Feature extraction,Transformers,Training,Decoding,Support vector machines,Driver distraction quantification,weakly supervised contrastive learning,representation clustering
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