To address missed detections of distant sparse objects in LiDAR 3D detection and inference latency on edge devices, we propose GD-Pillars, a lightweight algorithm. First, a Geometry and Density-Aware Pillar Feature Encoding (GD-PFE) network enhances local geometric descriptions and compensates for sparse target feature...
Yue Zhang, Qing-Hua Zeng, Fang-Dong Li et al.· Journal of Physics, Conferen...· 0 citations
This paper proposes TDSF-Net, a target-driven sparse fusion network for real-time RGB-infrared weak small object detection, which follows an enhance-then-fuse paradigm and achieves state-of-the-art performance on the UAV-based DroneVehicle dataset.
Jian-Yuan Wang, Lang Liu, Jin-Bao Chen et al.· Journal of Real-Time Image P...· 0 citations
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