Robotics & Machine Learning Daily News2024,Issue(Jul.10) :36-36.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.10) :36-36.

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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Abstract

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.”

Key words

Chongqing/People’s Republic of China/A sia/Intelligent Vehicles/Transportation/Chongqing University of Posts and Tel ecommunications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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