2 citations · 2 across the 15 of their papers we have counts for
3 papers · 1 filter
Your Self-Supervised Projection Head Captures Object Co-Occurrence Statistics
Arthur Aubret, Jochen Triesch, Céline Teulière
Self-Supervised Learning (SSL) has achieved impressive success in learning semantic visual representations, yet the underlying principles driving this success remain underexplored.…
Predictive Coding Light+: learning to predict visual sequences with spike timing-dependent plasticity and synaptic delays
Antony W. N'dri, Thomas Barbier, Céline Teulière +1
The ability to predict the future is of great value for biological and artificial cognitive systems alike. However, successfully predicting the future typically requires maintainin…
Temporal Slowness in Central Vision Drives Semantic Object Learning
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig +1
Humans acquire semantic object representations from egocentric visual streams with minimal supervision, but the underlying mechanisms remain unclear. Importantly, the visual system…