2 code implementations • 26 Sep 2023 • Francesco Ragusa, Rosario Leonardi, Michele Mazzamuto, Claudia Bonanno, Rosario Scavo, Antonino Furnari, Giovanni Maria Farinella
ENIGMA-51 is a new egocentric dataset acquired in an industrial scenario by 19 subjects who followed instructions to complete the repair of electrical boards using industrial tools (e. g., electric screwdriver) and equipments (e. g., oscilloscope).
no code implementations • 14 Apr 2022 • Michele Mazzamuto, Francesco Ragusa, Antonino Furnari, Giovanni Signorello, Giovanni Maria Farinella
Since labeling large amounts of data to train a standard object detector is expensive in terms of costs and time, we propose a weakly supervised version of the task which leans only on gaze data and a frame-level label indicating the class of the attended object.