This study offers a systematic literature review on the application of Convolutional Neural
Networks in Virtual Reality, Augmented Reality, Mixed Reality, and Extended Reality …

The lack of fa\c {c} ade structures in photogrammetric mesh models renders them
inadequate for meeting the demands of intricate applications. Moreover, these mesh models …

Internet users have formed a wide array of online communities with diverse community goals
and nuanced norms. However, most online platforms only offer a limited set of governance …

Semantic segmentation requires a lot of training data, which necessitates costly annotation.
There have been many studies on unsupervised domain adaptation (UDA) from one domain …

This paper presents an automatic 3D building reconstruction methodology for historical
urban maps. It uses facade and openings detection on the maps, followed by rectification …

Deep neural network models are commonly used in computer vision problems, eg, image
segmentation. Convolutional neural networks have been state-of-the-art methods in image …

Nowadays, AI-supported image analytics is present in many branches. New applications
based ontransfer learning suffer a lack of data, and data augmentation has become an …