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RSS-YOLO: An efficient UAV object detector with reciprocal spatial-semantic fusion
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.
MDCF-YOLO: a lightweight multi-scale context-aware and feature fusion network for small object detection in remote sensing images
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 remote sensing scenarios.