A Lightweight SAR Ship Detection Network Based on Deep Multiscale Grouped Convolution, Network Pruning, and Knowledge Distillation

Deep learning has proven to be highly effective in synthetic aperture radar (SAR) image target detection. However, many latest deep learning models have predominantly focused on increasing depth and size to enhance detection accuracy, often ignoring the balance between accuracy and detection speed,...

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Bibliografiska uppgifter

Huvudupphov:	Boyi Hu, Hongxia Miao
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ämnen:	Convolutional neural network (CNN) knowledge distillation (KD) lightweight network pruning synthetic aperture radar (SAR) target detection
Länkar:	https://ieeexplore.ieee.org/document/10759720/
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