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洞見 - Semantic Segmentation in 3D Object Detection
3D Semantic Segmentation-Driven Representations for 3D Object Detection: Enhancing Autonomous Driving Systems
The author proposes a method to integrate semantic features from 3D semantic segmentation into LiDAR-only 3D object detection, aiming to improve performance and accuracy in autonomous driving systems.
3D Semantic Segmentation-Driven Representations for 3D Object Detection: Enhancing Autonomous Driving Systems with Semantic Features
LiDAR-based 3D object detection benefits from semantic features obtained through 3D semantic segmentation, improving performance for cars.
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