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Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image
2021
PLoS ONE
This exploration primarily aims to jointly apply the local FCN (fully convolution neural network) and YOLO-v5 (You Only Look Once-v5) to the detection of small targets in remote sensing images. Firstly, the application effects of R-CNN (Region-Convolutional Neural Network), FRCN (Fast Region-Convolutional Neural Network), and R-FCN (Region-Based-Fully Convolutional Network) in image feature extraction are analyzed after introducing the relevant region proposal network. Secondly, YOLO-v5
doi:10.1371/journal.pone.0259283
pmid:34714878
pmcid:PMC8555847
fatcat:qa6wt2gzhberdcntv7u7xfg27e