Micro-YOLO+: Searching Optimal Methods for Compressing Object Detection Model Based on Speed, Size, Cost, and Accuracy

Convolutional neural networks play a great role in solving the problem of object detection. However, conventional object detection models, such as YOLO and SSD, are usually too large to be deployed on embedded devices due to their restricted resources and low power requirements. In this paper, sever...

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