7 papers
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…
Re-assessing the evidence for mental rotation abilities in children using computational models
Arthur Aubret, Jochen Triesch
There is strong and diverse evidence for mental rotation (MR) abilities in adults. However, current evidence for MR in children rests on just a few behavioral paradigms adapted fro…
Simulated Cortical Magnification Supports Self-Supervised Object Learning
Zhengyang Yu, Arthur Aubret, Chen Yu +1
Recent self-supervised learning models simulate the development of semantic object representations by training on visual experience similar to that of toddlers. However, these mode…
MIMo grows! Simulating body and sensory development in a multimodal infant model
Francisco M. López, Miles Lenz, Marco G. Fedozzi +2
Infancy is characterized by rapid body growth and an explosive change of sensory and motor abilities. However, developmental robots and simulation platforms are typically designed…
Toddlers' Active Gaze Behavior Supports Self-Supervised Object Learning
Zhengyang Yu, Arthur Aubret, Marcel C. Raabe +3
Toddlers learn to recognize objects from different viewpoints with almost no supervision. During this learning, they execute frequent eye and head movements that shape their visual…
Human Gaze Boosts Object-Centered Representation Learning
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig +1
Recent self-supervised learning (SSL) models trained on human-like egocentric visual inputs substantially underperform on image recognition tasks compared to humans. These models t…