Abstract: Convolutional neural networks (CNNs) are frequently used to analyze remote sensing images and achieve impressive progress. Limited by the receptive field size of CNNs, small objects tended ...

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Abstract: The CA-YOLO (Coordinate Attention-YOLO) model has been optimized for object detection in complex remote sensing images, addressing key issues faced by algorithms that detect multiple objects ...

BoltzFormer is designed for text promptable segmentation, with superior performance for small objects. It performs Boltzmann sampling within the attention mechanism in the transformer, allowing the ...

A composite image of X-ray, radio, and optical light data from the "cosmic hand" nebula leaves open questions about the interaction that created it. Credit: NASA / CXC / S. Zhang et al / ATNF / CSIRO ...

What if you could create stunning, professional-grade image edits without ever touching a single layer or navigating a maze of menus? Imagine typing a simple phrase like, “Add a glowing sunset behind ...

A new image has revealed the clearest glimpse yet of an interstellar visitor zipping through our solar system.Video above: Astronomers discover how planets formThe Hubble Telescope and its Wide Field ...