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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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 ...

Abstract: Remote sensing images usually reveal various objects with complex structures and different locations within vast ground area backgrounds. That leads to a major challenge for conventional ...