Abstract: Large azimuth error has been a major conflict in static alignment, and the accuracy of initial alignment is closely related to the performance of inertial ...

Abstract: Convolutional neural networks (CNNs) are widely adopted for remote sensing image scene classification. However, labeling of large annotated remote sensing datasets is costly and time ...

There’s a particular kind of isolation that shows up when you own a business. It doesn’t arrive with a warning sign, and it doesn’t look dramatic from the outside. Actually most days, it blends right ...

Nearly three years ago, Gov. Mike DeWine strolled through Conneaut Elementary School, stopping in classrooms to witness the magic of reading. He wanted to learn how the “Science of Reading” program ...

We propose LASER, a training-free framework that converts an offline reconstruction model into a streaming system by aligning predictions across consecutive temporal windows. We observe that simple ...