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You Only Look at Once for Real-time and Generic Multi-Task
April 26, 2024, 4:46 a.m. | Jiayuan Wang, Q. M. Jonathan Wu, Ning Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: High precision, lightweight, and real-time responsiveness are three essential requirements for implementing autonomous driving. In this study, we incorporate A-YOLOM, an adaptive, real-time, and lightweight multi-task model designed to concurrently address object detection, drivable area segmentation, and lane line segmentation tasks. Specifically, we develop an end-to-end multi-task model with a unified and streamlined segmentation structure. We introduce a learnable parameter that adaptively concatenates features between necks and backbone in segmentation tasks, using the same loss …
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