Abstract: The Segment Anything Model (SAM) is a large general segmentation model proposed by Meta, which has shown amazing performance in many natural image segmentation tasks. Recently, MA-SAM has ...

Abstract: Remote sensing images semantic segmentation is typically challenging due to the complexity of land cover information. Existing convolutional neural network (CNN)-based models lack the ...

With Polystate, you can write 'state functions' that produce entirely new states, whose transitions are decided by a set of parameters. This enables composition: constructing states using other states ...