Abstract: Detecting small, oriented objects in remote sensing images remains a bottleneck for prevailing detection paradigms. The discriminative cues essential for detecting small instances are often ...
This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...
Abstract: High interclass similarity and diverse geometric configurations in high spatial resolution remote sensing images pose significant challenges for remote sensing object detection. To address ...