1 code implementation • 12 Sep 2024 • Octavio Arriaga, Jichen Guo, Rebecca Adam, Sebastian Houben, Frank Kirchner
Humans excel at building generalizations of new concepts from just one single example.
no code implementations • 4 Jun 2023 • Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain explanation methods fail the model and data randomization tests.
1 code implementation • 21 Dec 2022 • Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
State-of-the-art object detectors are treated as black boxes due to their highly non-linear internal computations.
no code implementations • 23 Nov 2020 • Octavio Arriaga, Matias Valdenegro-Toro
Evaluating difficulty and biases in machine learning models has become of extreme importance as current models are now being applied in real-world situations.
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.
1 code implementation • 27 Oct 2020 • Octavio Arriaga, Matias Valdenegro-Toro, Mohandass Muthuraja, Sushma Devaramani, Frank Kirchner
In this paper we introduce the Perception for Autonomous Systems (PAZ) software library.
no code implementations • 17 Sep 2018 • Bilal Wehbe, Octavio Arriaga, Mario Michael Krell, Frank Kirchner
Multi-context model learning is crucial for marine robotics where several factors can cause disturbances to the system's dynamics.
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.