A pairwise differential siamese network learns per-feature masks that discard corrupted neural features, improving face recognition under partial occlusion without hurting clean-image performance.
Recognizing partially occluded faces from a single sample per class using string- based matching
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Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
A pairwise differential siamese network learns per-feature masks that discard corrupted neural features, improving face recognition under partial occlusion without hurting clean-image performance.