Tree bark re-identification using a deep-learning feature descriptor

1 code implementation • 6 Dec 2019 • Martin Robert, Patrick Dallaire, Philippe Giguère

Oftentimes, it relies on collections of visual signatures based on descriptors, such as SIFT or SURF.

The Indian Chefs Process

no code implementations • 29 Jan 2020 • Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette

This paper introduces the Indian Chefs Process (ICP), a Bayesian nonparametric prior on the joint space of infinite directed acyclic graphs (DAGs) and orders that generalizes Indian Buffet Processes.

Out-of-distribution detection for regression tasks: parameter versus predictor entropy

no code implementations • 24 Oct 2020 • Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette

Focusing on regression tasks, we choose a simple yet insightful model for this OOD distribution and conduct an empirical evaluation of the ability of various methods to discriminate OOD samples from the data.

Out-of-Distribution Detection Out of Distribution (OOD) Detection +2