基于深度学习的显著性目标检测实验教学平台设计OA

In view of the requirements of computer vision courses,combined with the practical problems of object detection,a salient object detection experimental platform based on deep learning is designed.The platform integrates a variety of salient object detection algorithms for input data such as 2D(RGB image),3D RGB-D image,RGB-T image,video and 4D light field image,and designs important experimental links such as feature coding and feature decoding,and realizes the deployment of detection network model and the visual analysis of detection results.The platform aims to provide a convenient and efficient experimental framework for object detection teaching,assisting students in deeply understanding the design and implementation of object detection algorithms,and improving students' learning experience and participa-tion.The implementation of this experimental platform can help students consolidate computer vision theory,cultivate and improve students'algorithm design and engineering practice ability.