First, thank you for making such a flexible and robust code! I have been following this library for years now, and it has grown so much since then. I am currently trying to predict the ...
Biden administration officials on Monday announced plans to expand the use of the new “continuous vetting” process for reviewing existing federal workers’ background checks to all “public trust” ...
Abstract: In this letter, we introduce MappingConvSeg, a continuous convolution network for semantic segmentation of large-scale point clouds. In particular, a conceptually simple, end-to-end ...
In today’s quickly evolving job landscape, staying competitive requires dedication. This can mean looking into professional development and continuous learning. This year, the importance of upskilling ...
Abstract: "We develop a framework for sampling from discrete distributions on the $n$-dimensional hypercube by sampling from continuous distributions obtained by ...
Abstract: Although Convolutional Neural Networks (CNNs) have achieved large successes on image data, the attributes of point cloud data, such as its irregular format and sparse 3D distribution, ...
Visual data modeling, such as photographs and videos, is a canonical problem in deep learning. Many current deep learning backbones with good performance on benchmarks like ImageNet have been ...
Rolling bearings are the most prone to failures in mechanical equipment, and the vibration signal is unstable. Therefore, according to this characteristic of the bearing, the time-frequency ...
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