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Shu-Jing Xie

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Open access Aug 2026

A Novel Study of Traffic Object Detection Based on Video Surveillance Streams

Traditional traffic target detection heavily relies on manual processing. However, the latest advancements in deep learning have significantly enhanced the capabilities of target detection and multi-target tracking. To address these challenges, this paper proposes a perception-tracking-reasoning framework based on traf...

Shu-Jing Xie, Zhi-Hao Zhang, Shuo Wang et al. · 0 citations
Jul 2026

QS-YOLOv8: a lightweight and efficient detector for small objects

A high-level feature channel compression strategy is proposed, which compresses redundant high-level channels and removes the P5 detection head, thereby reducing model complexity while preserving key semantic information in a lightweight detection framework named QS-YOLOv8.

Shu-Jing Xie, Haikun Li, Weihao Ye et al. · 0 citations

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