2021/06/27 by Anton Razzhigaev, Razzhigaev, Anton, Klim Kireev +5
Computer Science · #Face recognition and analysis #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
paper · pdf · doi:10.48550/arxiv.2106.14290
Several methods for inversion of face recognition models were recently presented, attempting to reconstruct a face from deep templates. Although some of these approaches work in a black-box setup using only face embeddings, usually, on the end-user side, only similarity scores are provided. Therefore, these algorithms are inapplicable in such scenarios. We propose a novel approach that allows reconstructing the face querying only similarity scores of the black-box model. While our algorithm operates in a more general setup, experiments show that it is query efficient and outperforms the existing methods.