Abstract: Change detection aims to reveal the changes of specific regions or objects in a time series. Object-level change detection methods are more suitable for existing needs because they can ...
Abstract: Deep learning has achieved significant progress in ship instance segmentation for synthetic aperture radar (SAR) images. However, due to the challenges posed by inshore scenes, such as dense ...
SDS-Net is a deep learning framework designed for infrared small target detection (IRSTD). The network employs a shallow-deep synergism strategy that effectively combines multi-scale features from ...
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