Beamforming technique realized by the multipleinput-multiple-output (MIMO) antenna arrays
has been widely used to compensate for the severe path loss in the millimeter wave …

Previous studies on automating building design with deep learning primarily focused on
planning room layouts, limiting the design of architectural elements such as doors and …

Image semantic segmentation is a visual scene understanding task. The goal is to predict
the category label of each pixel in the input image, so as to achieve object segmentation at …

Existing semantic segmentation methods for fatigue cracks in steel bridge girders are fully
supervised and thus demand manual annotation of pixel‐level labels, which is time …

Abstract Weakly supervised Temporal Action Localization (WTAL) aims to locate the start
and end boundaries of action instances and recognize their corresponding categories …

The continuous miniaturization of semiconductor patterns improves performance but also
leads to frequent pattern disruptions that significantly reduce manufacturing yields. In the …

Passport security feature classification has always been an important issue in border
checks. Current manual methods struggle to achieve satisfactory results in terms of …

Heatmaps generated on inputs of image classification networks via explainable AI methods
like Grad-CAM and LRP have been observed to resemble segmentations of input images in …