Search Results for author: René de Jong

Found 4 papers, 1 papers with code

On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications

no code implementations11 Nov 2021 Johanna Rock, Tiago Azevedo, René de Jong, Daniel Ruiz-Muñoz, Partha Maji

Deep neural networks have shown great success in prediction quality while reliable and robust uncertainty estimation remains a challenge.

Multi-class Classification Sensor Fusion

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification

no code implementations13 Aug 2021 Shyam A. Tailor, René de Jong, Tiago Azevedo, Matthew Mattina, Partha Maji

In recent years graph neural network (GNN)-based approaches have become a popular strategy for processing point cloud data, regularly achieving state-of-the-art performance on a variety of tasks.

Mixed Reality

Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts

1 code implementation7 Sep 2020 Tiago Azevedo, René de Jong, Matthew Mattina, Partha Maji

In this paper, we adapt the well-established YOLOv3 architecture to generate uncertainty estimations by introducing stochasticity in the form of Monte Carlo Dropout (MC-Drop), and evaluate it across different levels of dataset shift.

Image Classification object-detection +1

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