Abstract:Masked face recognition becomes an important issue of prevention and monitor in outbreak of COVID-19. Due to loss of facial features caused by masks, unmasked face recognition could not identify the specific person well. Current masked faces methods focus on local features from the unmasked regions or recover masked faces to fit standard face recognition models. These methods only focus on partial information of faces thus these features are not robust enough to deal with complex situations. To solve this prob… Show more
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