March 20, 2024, 4:42 a.m. | Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.12710v1 Announce Type: cross
Abstract: Concerns for the privacy of individuals captured in public imagery have led to privacy-preserving action recognition. Existing approaches often suffer from issues arising through obfuscation being applied globally and a lack of interpretability. Global obfuscation hides privacy sensitive regions, but also contextual regions important for action recognition. Lack of interpretability erodes trust in these new technologies. We highlight the limitations of current paradigms and propose a solution: Human selected privacy templates that yield interpretability by …

abstract action recognition arxiv concerns consistent cs.cv cs.lg global interpretability privacy public recognition through type

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