Pose-Normalized Image Generation for Person Re-identification
european conference on computer vision, pp. 661-678, 2018.
We have proposed a novel deep person image generation model by synthesizing pose-normalized person images for re-id
Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired training data and learning discriminative identity-sensitive and view-invariant features in the presence of large pose variations. In this work, we address both problems by proposing a novel deep person image generation model for synthesizing real...More
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