Training Fully Convolutional Neural Networks for Lightweight, Non-Critical Instance Segmentation Applications

Training Fully Convolutional Neural Networks for Lightweight, Non-Critical Instance Segmentation Applications

Augmented reality applications involving human interaction with virtual objects often rely on segmentation-based hand detection techniques. Semantic segmentation can then be enhanced with instance-specific information to model complex interactions between objects, but extracting such information typ...

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Bibliographic Details
Main Authors: Miguel Veganzones, Ana Cisnal, Eusebio de la Fuente, Juan Carlos Fraile
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
computer vision
convolutional neural networks
deep learning
hand segmentation
semantic segmentation
Online Access:https://www.mdpi.com/2076-3417/14/23/11357
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