Author

Hai-Peng He

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Conference Aug 2026

YOLO-DSDFE: Dual-Stream Depthwise Feature Enhancement for Lightweight Fire and Smoke Detection

Fire and smoke exhibit different spatial characteristics: fire regions often contain localized high responses, contour variations, and irregular boundaries, whereas smoke usually presents weak texture, blurred boundaries, and broader spatial extent. Lightweight detectors commonly apply the same kernel-size and dilation...

Pan-Rong Chen, Hai-Peng He, Chao-Yun Mai et al. · 2026 2nd International Confe... · 0 citations

Open access Sep 2026

YOLO-FSD: A Deployment-Validation-Oriented Lightweight Fire Smoke Detection Network for Resource-Constrained ZYNQ7020 FPGA Edge Platforms

Early-stage flame and smoke in forest fire scenes are often small, weakly textured, and easily confused with complex backgrounds, while many accurate YOLO-based detectors are difficult to deploy on resource-constrained FPGA devices. This study proposes YOLO-FSD, a lightweight detector derived from YOLOv4-tiny for FPGA-...

Chao-Yun Mai, Pan-Rong Chen, Hai-Peng He et al. · Fire · 0 citations

Open access 2026

SeCoR: Evidence-Guided Selective Correction for Lightweight Remote Sensing Change Detection

Remote sensing change detection (RSCD) aims to identify land-cover changes from bitemporal images and is widely used in urban monitoring, disaster assessment, and land-resource analysis. Lightweight RSCD models usually rely on compact backbones and efficient temporal interaction, but most of them update bitemporal feat...

Chaoyun Mai, Hai-Peng He, Hao Xie et al. · IEEE Journal of Selected Top... · 0 citations