Leveraging Monte Carlo Dropout for Uncertainty Quantification in Real-Time Object Detection of Autonomous Vehicles
Author:
Affiliation:
1. College of Automotive Engineering, Jilin University, Changchun, China
2. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Funder
National Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10401930.pdf?arnumber=10401930
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4. PROB: Probabilistic Objectness for Open World Object Detection
5. A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
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