Abstract: Deep Neural Nets architectures are complex. Training them induces a greedy need for computing power and storage. This complexity is due to the large number of layers and parameters needed to ...

To address these challenges, we propose an innovative single-stage Local-Global Feature Extraction and Coordination Network (LGC-YOLO) to improve the detection accuracy of objects in HRRSIs. LGC-YOLO ...