To solve the problem, it was decided to use an unusual approach based on multimodal LLMs. They can potentially solve the ...

Morphological methods play a crucial role in remote sensing image processing, due to their ability to capture and preserve small structural details. However, most of the existing deep learning models ...

The increasing availability of high-resolution remote sensing images (RSIs), driven by advancements in satellite and optical imaging technologies, presents both new opportunities and challenges for ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics ...

Image Segmentation using Max-Flow Min-Cut This project applies graph theory to image segmentation using the Max-Flow Min-Cut algorithm. By modeling an image as a flow network and applying the ...

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Object Details Author Voltzow, Janice Collin, Rachel Citation Voltzow, Janice and Collin, Rachel. 1995. "Flow through mantle cavities revisited: was sanitation the key to fissurellid evolution?" ...

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models - ray38080289/boxmot ...