Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network. (arXiv:2209.10421v1 [cs.CV])

With the booming of Convolutional Neural Networks (CNNs), CNNs such as VGG-16
and ResNet-50 widely serve as backbone in SAR ship detection. However, CNN
based backbone is hard to model long-range dependencies, and causes the lack of
enough high-quality semantic information in feature maps of shallow layers,
which leads to poor detection performance in complicated background and
small-sized ships cases. To address these problems, we propose a SAR ship
detection method based on Swin Transformer and Feature Enhancement Feature
Pyramid …

arxiv detection feature network swin transformer