A Implementation of ACMMM-22(Imitated Detectors: Stealing Knowledge of Black-box Object Detectors)
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This project implements a method for stealing knowledge from black-box object detectors by training imitated detectors using synthetic and adversarial data. It is designed for computer vision researchers and engineers