Abstract: Accurate and timely fault detection is critical for confirming the reliability and resilience of modern smart grids considered by high penetration of renewable energy sources and dynamic ...
You will be redirected to our submission process. The accelerating pace of global environmental change driven by climate change, biodiversity loss, land degradation, and urbanization demands ...
Abstract: Cropland change detection in remote sensing is hindered by spatial heterogeneity and temporal noise, leading to misaligned representations and erroneous change identification. We propose the ...
Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results