The breakthrough came after researchers studied images from NASA's Hubble Space Telescope, along with new observations from ...
Abstract: Recently, deep learning neural networks have been widely used in object classification. The process of object classification typically involves extracting features from the point cloud using ...
Abstract: Object detectors often struggle with accuracy and generalization when applied to aerial imagery, primarily due to the following challenges: 1) great scale variation of objects in aerial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results