Scene representation using a new two-branch neural network model
Scene classification and recognition have always been one of the most challenging tasks of
scene understanding due to the inherent ambiguity in visual scenes. The core of scene …
scene understanding due to the inherent ambiguity in visual scenes. The core of scene …
A new CNN-based semantic object segmentation for autonomous vehicles in urban traffic scenes
Semantic segmentation is the most important stage of making sense of the visual traffic
scene for autonomous driving. In recent years, convolutional neural networks (CNN)-based …
scene for autonomous driving. In recent years, convolutional neural networks (CNN)-based …
A Geography of indoors for analyzing global ways of living using computer vision
M Mazzarello, M Klimenka, R Sanatani, J Eshtiyagh… - 2024 - researchsquare.com
Globalization is often seen as having a homogenizing effect, reducing pronounced local
cultural differences. The kinds of housing people live in are one of the most pronounced …
cultural differences. The kinds of housing people live in are one of the most pronounced …
The influence of vision on the perceptual compensation for reverberation in simulated environments
KYT Tsang - 2023 - unsworks.unsw.edu.au
In typical listening environments, auditory signals arrive at the ear as a fusion of the direct
energy from sound sources and the indirect reflections via reverberation. The listener thus …
energy from sound sources and the indirect reflections via reverberation. The listener thus …