Face recognition systems can be repurposed for morphing attack detection using a new threshold that bounds vulnerability even to unknown morph types.
von mises-fisher mixture model-based deep learning: Application to face verification
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
T-DuMpRa fuses classifier outputs with cosine-matched multi-prototypes from a teacher model via conservative gating, yielding 0.21-2.69% gains on skin lesion datasets across five backbones.
citing papers explorer
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Find the Differences: Differential Morphing Attack Detection vs Face Recognition
Face recognition systems can be repurposed for morphing attack detection using a new threshold that bounds vulnerability even to unknown morph types.
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T-DuMpRa: Teacher-guided Dual-path Multi-prototype Retrieval Augmented framework for fine-grained medical image classification
T-DuMpRa fuses classifier outputs with cosine-matched multi-prototypes from a teacher model via conservative gating, yielding 0.21-2.69% gains on skin lesion datasets across five backbones.