no code implementations • 2 Aug 2021 • Arka Mallick, Paul Plöger, Matias Valdenegro-Toro
Application of underwater robots are on the rise, most of them are dependent on sonar for underwater vision, but the lack of strong perception capabilities limits them in this task.
no code implementations • 29 Oct 2020 • Mohandass Muthuraja, Octavio Arriaga, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
In this work, we propose the use of Black-box optimization methods to tune the prior/default box scales in Faster R-CNN and SSD, using Bayesian Optimization, SMAC, and CMA-ES.
no code implementations • 3 Jul 2020 • Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
Deep learning models are extensively used in various safety critical applications.
no code implementations • 7 Nov 2017 • Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro
Current robot platforms are being employed to collaborate with humans in a wide range of domestic and industrial tasks.
18 code implementations • 20 Oct 2017 • Octavio Arriaga, Matias Valdenegro-Toro, Paul Plöger
In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.
no code implementations • 3 Jun 2016 • Alexander Hagg, Frederik Hegger, Paul Plöger
Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios.