Given the growing demand for traffic object detection in autonomous driving, achieving both efficiency and accuracy on in-vehicle platforms remains challenging. To address this issue, we propose a Frequency-Oriented Adaptive Detector for vehicle-mounted intelligent traffic object detection. It integrates high- and low-...
Zi-Qi Li, Tao Gao, Shu-Tao Li et al.· Nature Communications· 0 citations
Infrared small target detection (IRSTD) remains highly challenging in long-range imaging scenarios due to extremely weak target characteristics and severe background interference. Although recent deep learning-based methods have achieved remarkable progress through hierarchical representation learning, subtle target cu...
Gui-Ping Wu, Lidong Liu, Tao Gao et al.· IEEE Transactions on Geoscie...· 0 citations
Accurate infrared small target detection (IRSTD) is critical for all-weather perception systems. However, conventional deep networks tend to exhibit low-pass filtering behavior, leading to irreversible attenuation of fragile signatures in small targets. Meanwhile, complex clutter overwhelms discriminative cues, submerg...
Zi-Xiang Liu, Tao Gao, Gui-Ping Wu et al.· IEEE Transactions on Geoscie...· 0 citations
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