most citedFacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle

2 citations · 2 across the 1 of their papers we have counts for

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cs.CV2023★ 2 cited

FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle

Meshia Cédric Oveneke, Rucha Vaishampayan, Deogratias Lukamba Nsadisa +1

This work proposes to solve the problem of few-shot biometric authentication by computing the Mahalanobis distance between testing embeddings and a multivariate Gaussian distributi…