Publications - Daoze Tang

2026

1 paper

CORE-Net: A cross-modal orthogonal representation enhancement network for low-altitude multispectral object detection

Daoze Tang*, Shuyun Tang*, Dequan Zheng^# (* equal contribution, ^# corresponding author)

PLOS One · 2026

Diverging from conventional heavy-fusion paradigms, the CORE-Net framework adopts a dual-branch architecture integrated with a streamlined Cross-modal Concatenation Network Framework (CCNF), which achieves efficient feature integration while substantially reducing model complexity.

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2025

1 paper

A global object-oriented dynamic network for low-altitude remote sensing object detection

Daoze Tang*, Shuyun Tang*, Yalin Wang, Shaoyun Guan^#, Yining Jin^# (* equal contribution, ^# corresponding author)

Scientific Reports · 2025

This research presents a scalable object detection framework adaptable to various application scenarios and contributes a novel design paradigm for efficient deep learning-based object detection.

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2024

1 paper

LCFF-Net: A lightweight cross-scale feature fusion network for tiny target detection in UAV aerial imagery

Daoze Tang, Shuyun Tang, Zhipeng Fan^# (^# corresponding author)

PLOS One · 2024

This work proposes an improved, lightweight algorithm, LCFF-Net, designed to enhance the extraction of tiny target features and optimize the use of computational resources, and presents different scale versions of the LCFF-Net algorithm to suit various deployment environments.

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