2 citations · 6 across the 10 of their papers we have counts for
4 papers · 1 filter
The Marine Debris Forward-Looking Sonar Datasets
Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh +2
Sonar sensing is fundamental for underwater robotics, but limited by capabilities of AI systems, which need large training datasets. Public data in sonar modalities is lacking. Thi…
NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems
Laura Weihl, Bilal Wehbe, Andrzej Wąsowski
Autonomous inspection of infrastructure on land and in water is a quickly growing market, with applications including surveying constructions, monitoring plants, and tracking envir…
Self-supervised Learning for Sonar Image Classification
Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida +1
Self-supervised learning has proved to be a powerful approach to learn image representations without the need of large labeled datasets. For underwater robotics, it is of great int…
Pre-trained Models for Sonar Images
Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe
Machine learning and neural networks are now ubiquitous in sonar perception, but it lags behind the computer vision field due to the lack of data and pre-trained models specificall…