This AI Paper Proposes a Novel Pre-Training Strategy Called Privacy-Preserving MAE-Align’ to Effectively Combine Synthetic Data and Human-Removed Real Data

Action recognition, the task of identifying and classifying human actions from video sequences, is a crucial field within computer vision. However, its reliance on large-scale datasets containing images of people brings forth significant challenges related to privacy, ethics, and data protection. These issues arise due to the potential identification of individuals based on personal attributes […]

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