A Generative Approach Towards Improved Robotic Detection of Marine Litter

This paper presents an approach to address data scarcity problems in underwater image datasets for visual detection of marine debris. The proposed approach relies on a two-stage variational autoencoder (VAE) and a binary classifier to evaluate the generated imagery for quality and realism. From the...

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Bibliographische Detailangaben

Hauptverfasser:	Hong, Jungseok, Fulton, Michael, Sattar, Junaed
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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