HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Face Identification On Megaface

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Accuracy
Paper TitleRepository
GhostFaceNetV2-198.64%GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
CosFace82.72%CosFace: Large Margin Cosine Loss for Deep Face Recognition
Cos+UNPG99.27%Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
PartialFC + Glint360K + R10099.10%Partial FC: Training 10 Million Identities on a Single Machine
SphereFace (3-patch ensemble)75.766%SphereFace: Deep Hypersphere Embedding for Face Recognition
Mag+UNPG98.03%Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
ArcFace + MS1MV2 + R100 + R98.35%ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Prodpoly98.78%Deep Polynomial Neural Networks
FaceNet70.49%FaceNet: A Unified Embedding for Face Recognition and Clustering
Light CNN-2973.749%A Light CNN for Deep Face Representation with Noisy Labels
SV-AM-Softmax97.2%Support Vector Guided Softmax Loss for Face Recognition
SphereFace (single model)72.729%SphereFace: Deep Hypersphere Embedding for Face Recognition
Arc+UNPG98.82%Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
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