Accurate Target Positioning and Detection Algorithm Integrating Deep Learning and Prior Knowledge
Year: 2024
Type: article
Abstract: Target targeting and detection is one of the core tasks in the field of computer vision, which has great significance for autonomous driving, intelligent surveillance, medical image analysis and other fields. In this paper, we propose an accurate target positioning and detection algorithm integrating deep learning and prior knowledge, aiming to combine the high efficiency of Faster R-CNN algorithm and the accuracy of prior knowledge to improve the accuracy and efficiency of target detection. Experimental results show that the proposed method achieves excellent performance on several datasets.
Authors: Ye Liu, Haisheng Song
Institution: Northwest Normal University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404727839