This work proposes LSO-YOLO, a novel real-time detector optimized for UAV-based small-object detection that significantly reduces parameter count and computational cost by approximately 67% and 18.18%, respectively, while maintaining a high inference speed of 126 FPS on an NVIDIA RTX 3060 GPU, meeting the requirements...
Peng-Fei Dai, Liang Chen, Yang-Wu Lian et al.· Journal of Real-Time Image P...· 0 citations
A new real-time detector for aerial imagery based on YOLO11, named RSS-YOLO, designed to replace the C3k2 module in YOLO11 and alleviates insufficient integration of spatial and semantic information within the feature extraction layers.
Peng-Fei Dai, Liang Chen, Le Xie et al.· Multimedia Systems· 2 citations
A lightweight object detection framework, termed MDCF-YOLO, which achieves a superior accuracy-efficiency trade-off compared to state-of-the-art lightweight object detectors and exhibits similarly competitive performance on the AI-TOD dataset, further validating its effectiveness and generalization capability in UAV re...
Peng-Fei Dai, Liang Chen, Ting Fan et al.· Cluster Computing· 1 citation
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