MagRoad introduces a novel path-centric reasoning approach for extracting vectorized road networks, specifically designed to handle the challenges of off-road and wild environments. Unlike ...
Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
Abstract: To address the inadequate dimensional inspection accuracy caused by noise interference and edge blurring during cabin image acquisition, this paper proposes a dimensional inspection ...
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