A Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents
Author:
Affiliation:
1. Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA
2. Department of Biomedical Informatics, the Department of Computer Science, AI Institute, Stony Brook University, Stony Brook, NY, USA
Funder
National Science Foundation
NSF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
https://ieeexplore.ieee.org/ielam/6979/9826234/9732278-aam.pdf
Reference32 articles.
1. Pareto optimality in multiobjective problems
2. Cascade R-CNN: Delving Into High Quality Object Detection
3. Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB
4. Global Feature Aggregation for Accident Anticipation
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