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Learning Auto-Structured Regressor from Uncertain Nonnegative Labels Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. Huang n n Beckman Institute and ECE Department University of Illinois at Urbana-Champaign 405 N. Mathews Ave., Urbana, [email protected] Learning with Uncertain Labels Mathematical Formulation Flowchart Iterative Procedure Evaluation Criteria Experiment Results Department of Information Engineering Chinese University of Hong Kong Shatin, Hong Kong [email protected] Estimated pose labels of the three images in Pointing04 from 13 different observers by rotating a 3D head model. We can see that large standard deviations exist for these labeled ground truths. 1.Makeup greatly affects observed age 2.Living condition affects observed age 3.An integer age l means the age within [l, l+1) 4.Without ground truth, the age estimation is subject-dependent Label is Uncertain and Nonnegative ! !! Pose Estimat ion Age Estimat ion Algorithm Convergen ce Uncertain ty Effective ness

Learning with Uncertain Labels

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Learning Auto-Structured Regressor from Uncertain Nonnegative Labels Shuicheng Yan, Huan Wang , Xiaoou Tang, Thomas S. Huang . Mathematical Formulation. Learning with Uncertain Labels . Evaluation Criteria. Experiment Results. Uncertainty Effectiveness. - PowerPoint PPT Presentation

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Page 1: Learning with Uncertain Labels

Learning Auto-Structured Regressor from Uncertain Nonnegative Labels

Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. Huang

n

n

Beckman Institute and ECE Department University of Illinois at Urbana-Champaign 405 N. Mathews Ave., Urbana, IL 61801 [email protected]

Learning with Uncertain Labels Mathematical Formulation

Flowchart

Iterative Procedure

Evaluation Criteria

Experiment Results

Department of Information Engineering Chinese University of Hong Kong Shatin, Hong Kong [email protected]

Estimated pose labels of the three images in Pointing04 from 13 different observers by rotating a 3D head model. We can see that large standard deviations exist for these labeled ground truths.

1. Makeup greatly affects observed age2. Living condition affects observed age3. An integer age l means the age within [l, l+1)4. Without ground truth, the age estimation is subject-dependent

Label is Uncertain and Nonnegative !!!

Pose Estimation

Age Estimation

Algorithm Convergence

Uncertainty Effectiveness

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