Facial Attribute Classification On Lfwa

Error Rate

Results

Performance results of various models on this benchmark

		Paper Title
PANDA	18.97	PANDA: Pose Aligned Networks for Deep Attribute Modeling
LNets+ANet	16.15	Deep Learning Face Attributes in the Wild
DMTL	13.85	Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
MCNN-AUX	13.69	Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification
SSPL	13.47	Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data
SSP + SSG	12.87	Improving Facial Attribute Prediction using Semantic Segmentation
Label2Label	12.49	Label2Label: A Language Modeling Framework for Multi-Attribute Learning

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