首页|Investigators from Chongqing University of Posts and Telecommunications Target I ntelligent Vehicles (Multi-spatial Pyramid Feature and Optimizing Focal Loss Fun ction for Object Detection)
Investigators from Chongqing University of Posts and Telecommunications Target I ntelligent Vehicles (Multi-spatial Pyramid Feature and Optimizing Focal Loss Fun ction for Object Detection)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Transportation - Intelligent Vehicles are discussed in a new report. According tonews reporting originating in Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Previous deep convolutional neural network research has made significant pro gress toward improving thespeed and accuracy of object detection. However, desp ite these advancements, the inaccurate detectionof multi-object (small objects) remains challenging in the traffic environments.”
ChongqingPeople’s Republic of ChinaA siaIntelligent VehiclesTransportationChongqing University of Posts and Tel ecommunications
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