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Detecting small objects (e.g., those smaller than 20 × 20 pixels) in large-scale images remains a significant and challenging problem. Modern CNN-based detectors often struggle due to the scale ...

Abstract: The variability in altitudes, geographical background, and weather conditions across datasets degrades deep neural network (DNN) object counting performance. Unsupervised domain adaptation ...

Abstract: The scale and quality of datasets are crucial for training robust perception models. However, obtaining large-scale annotated data is both costly and time-consuming. Generative models have ...

A deep learning-based safety monitoring system for construction sites, integrating YOLO-ESCA for object detection and a Cross Attention Network for semantic alignment with safety rules. The system ...

If you or your team ever feels busy but slow, or aligned but still inconsistent, that’s usually a sign of classic ...

Align Real Estate unveiled plans to transform the site of Safeway's former Fillmore store into roughly 1,800 homes.

Most leadership teams don’t fail for lack of skill. They fail because truth becomes dangerous, conflict turns silent, and ...

A four man "strike team" broke into the Louvre in the heart of Paris on Sunday and robbed eight objects from the Apollo Gallery, including historical jewellery, as the world-renowned museum closed for ...

The model structures between Revit and SketchUp are preserved meaning families and layers from Revit are neatly translated into groups, components, and tags in SketchUp. This saves hours or even days ...