Abstract: Weakly supervised semantic segmentation methods can effectively alleviate the problem of high cost and difficult access to annotation in traditional methods. Among these approaches, point ...

Abstract: When humans delineate objects of interest from high-resolution remote sensing (RS) images, they first determine the existence and locations of these objects. Then, they identify the ...

Abstract: Remote sensing sensor platforms are typically located at a significant distance from the ground, ranging from several hundred meters to hundreds of kilometers. This means that, compared to ...

Abstract: Remote sensing instance segmentation is a significant but difficult task due to the need for a number of accurate mask labels. Although existing weakly supervised methods use multiple points ...

Trump expected to sign executive order to reclassify marijuana as soon as Monday, source tells CNBC; pot stocks surge A new discovery at Easter Island could rewrite history as we know it FDA intends ...

Eagle Point Credit Management LLC (“Eagle Point”), a private credit investment manager, announced today the addition of Greg Lindsey as Managing Director, Client and Partner Solutions. He will be ...

Abstract: The remote sensing scene classification is critical in a wide range of applications. A significant number of studies have adopted deep learning methods for scene classification from remote ...

PHILADELPHIA - To outsiders, Eagles’ steady veteran safety Reed Blankenship has not been playing at the level most expected of him. To further that narrative, Pro Football Focus has the fourth-year ...

In the midst of the Denver Nuggets' second game of the new 2025-26 regular season, they were able to see one of their rookie talents score their first-ever NBA points in the final minutes before ...

Abstract: Oriented object detection in remote sensing images has attracted significant attention, as rotated bounding boxes can more accurately fit targets with arbitrary orientations. However, ...