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SUMMARY:D5 Seminar: Bio-inspired self-supervised learning of visual representations
DESCRIPTION:The next D5 Seminar\, « Bio-inspired self-supervised learning of visual representations » will be held by Arthur Aubret\, on Friday\, December 13 at 1:30 p.m. in room C005. \nAbstract:\nAbstract: Despite recent advances in self-supervised visual machine learning\, humans develop more robust representations with much fewer data. This may be explained by the fundamental differences between the development of their visual systems: while machine learning methods use massive amounts of i.i.d images\, humans actively move and interact with objects over time. In this talk\, I investigate how considering bio-inspired learning mechanisms can impact visual representations learning. I will provide evidence that modelling spatio-temporal regularities in egocentric visual sequences boosts the robustness of vision models. In addition\, I will explain how egocentric actions underpinning visual changes\, like eye saccades or object manipulations\, support object learning. Together\, these findings expose that the spatio-temporal structure and active nature of human visual experience may be key to develop strong semantic visual representations.
URL:https://www.loria.fr/event/d5-seminar-bio-inspired-self-supervised-learning-of-visual-representations/
CATEGORIES:Séminaire
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