Detection of Black Holes
Extraction: Advanced Methods
Difference from Background: Limit of Detection
Flat Belts: Problem Solving
Methods of Classification and Identification
Force Classification
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Dong Xiao1,2, Panpan Liu3,4, Jichun Wang5,6
1Information Science and Engineering School, Northeastern University, Shenyang, 110004, China. xiaodong@ise.neu.edu.cn.
在采矿带中检测异物对于安全和效率至关重要. 拟议的YOLOv4_GECA方法达到90.1%的准确性和30ms的检测时间,满足实时采矿安全要求.
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