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Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
April 22, 2024, 4:45 a.m. | Junuk Jung, Seonhoon Lee, Heung-Seon Oh, Yongjun Park, Joochan Park, Sungbin Son
cs.CV updates on arXiv.org arxiv.org
Abstract: The goal of face recognition (FR) can be viewed as a pair similarity optimization problem, maximizing a similarity set $\mathcal{S}^p$ over positive pairs, while minimizing similarity set $\mathcal{S}^n$ over negative pairs. Ideally, it is expected that FR models form a well-discriminative feature space (WDFS) that satisfies $\inf{\mathcal{S}^p} > \sup{\mathcal{S}^n}$. With regard to WDFS, the existing deep feature learning paradigms (i.e., metric and classification losses) can be expressed as a unified perspective on different pair generation …
abstract arxiv cs.cv face face recognition feature form negative optimization positive recognition set space type
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