Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2215007(2024)
Task Feature Decoupling Model for Autonomous Driving Visual Joint Perception
Fig. 1. Architecture of task feature decoupling model for autonomous driving visual joint perception
Fig. 4. Task feature decoupling network for dual-branch semantic segmentation decoder
Fig. 5. The visualized results of TFDJP,the multi-task model YOLOP,the single-task models PSPNet,YOLOv5, and SCNN on the BDD100K dataset. (a) The visualized results of YOLOP; (b) the visualized results of TFDJP; (c) the visualized results of PSPNet, YOLOv5, and SCNN
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Yue Wang, Jiale Cao. Task Feature Decoupling Model for Autonomous Driving Visual Joint Perception[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2215007
Category: Machine Vision
Received: Jan. 19, 2024
Accepted: Apr. 11, 2024
Published Online: Nov. 19, 2024
The Author Email: Yue Wang (2021234212@tju.edu.cn)
CSTR:32186.14.LOP240559