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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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HyperAI초신경

Face Alignment On Wfw Extra Data

평가 지표

AUC@10 (inter-ocular)

FR@10 (inter-ocular)

NME (inter-ocular)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	AUC@10 (inter-ocular)	FR@10 (inter-ocular)	NME (inter-ocular)	Paper Title	Repository
Awing	57.19	2.84	4.36	Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
SPLT	59.50	2.76	4.14	Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
VGG-F	-	-	4.57	Pre-training strategies and datasets for facial representation learning
AnchoFace	57.69	2.96	4.32	AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
ATF	-	-	4.49	ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets	-
SPIGA	60.56	2.08	4.06	Shape Preserving Facial Landmarks with Graph Attention Networks
FaRL-B (epoch 16)	61.16	1.76	3.96	General Facial Representation Learning in a Visual-Linguistic Manner
ADNet	60.22	2.72	4.14	ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
SH-FAN	63.1	1.55	3.72	Subpixel Heatmap Regression for Facial Landmark Localization	-
LUVLi	57.7	3.12	4.37	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
HIH	60.50	2.60	4.08	HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap

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Face Alignment On Wfw Extra Data | SOTA | HyperAI초신경