TwinMixing: A Shuffle-Aware Feature Interaction Model for Multi-Task Segmentation

ArXi:2603.28233v1 Announce Type: cross Accurate and efficient perception is essential for autonomous driving, where segmentation tasks such as drivable-area and lane segmentation provide critical cues for motion planning and control. However, achieving high segmentation accuracy while maintaining real-time performance on low-cost hardware remains a challenging problem. To address this issue, we