Reviews recent work that analyzes the egocentric view of infants, highlighting the connection between the data and internal machinery for statistical learning.
Provides an overview of a curiosity-driven paradigm and relates the results back to the evolutionary process.
Computer vision models trained on data obtained from head-mounted cameras on children performs better than data from adults.