HyperAI
الرئيسيةالأخبارأحدث الأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
البحث
حول
HyperAI

Face Verification On Megaface

المقاييس

Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
Accuracy
Paper TitleRepository
ElasticFace-Arc98.81%ElasticFace: Elastic Margin Loss for Deep Face Recognition
PFEfuse + match92.51%Probabilistic Face Embeddings
Dynamic AdaCos97.41%AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
SV-AM-Softmax97.38%Support Vector Guided Softmax Loss for Face Recognition
SphereFace (3-patch ensemble)89.142%SphereFace: Deep Hypersphere Embedding for Face Recognition
Prodpoly98.95%Deep Polynomial Neural Networks
CosFace96.65%CosFace: Large Margin Cosine Loss for Deep Face Recognition
DiscFace97.44%DiscFace: Minimum Discrepancy Learning for Deep Face Recognition-
GhostFaceNetV2-198.72%GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
ArcFace + MS1MV2 + R100 + R98.48%ArcFace: Additive Angular Margin Loss for Deep Face Recognition
SphereFace (single model)85.561%SphereFace: Deep Hypersphere Embedding for Face Recognition
Light CNN-2985.133%A Light CNN for Deep Face Representation with Noisy Labels
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