BayesOD: Bayesian Inference for Fusing Epistemic and Aleatoric - - PowerPoint PPT Presentation

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BayesOD: Bayesian Inference for Fusing Epistemic and Aleatoric - - PowerPoint PPT Presentation

BayesOD: Bayesian Inference for Fusing Epistemic and Aleatoric Uncertainty in Deep Object Detectors Box Covariance Regression Box Mean Regression Feature Extractor NMS Classification Sample Object Detector NMS


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BayesOD: Bayesian Inference for Fusing Epistemic and Aleatoric Uncertainty in Deep Object Detectors

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  • Feature Extractor

Box Mean Regression Classification Box Covariance Regression NMS NMS Clustering Sample Statistics Object Detector MC- Dropout

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Feature Extractor Box Mean Regression Classification Box Covariance Regression Bayesian Inference Anchor Level Priors Object Level Prior MC- Dropout Clustering

Clustering Sample Statistics Object Detector

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Feature Extractor Box Mean Regression Classification Box Covariance Regression Bayesian Inference Anchor Level Priors Object Level Prior MC- Dropout Clustering

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  • 1

𝑏 1 𝑐 𝑑 1 𝑓 𝑔 𝑕

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Feature Extractor Box Mean Regression Classification Box Covariance Regression Bayesian Inference Anchor Level Priors Object Level Prior MC- Dropout Clustering

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Feature Extractor Box Mean Regression Classification Box Covariance Regression Bayesian Inference Anchor Level Priors Object Level Prior MC- Dropout Clustering

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Feature Extractor Box Mean Regression Classification Box Covariance Regression Bayesian Inference Anchor Level Priors Object Level Prior MC- Dropout Clustering

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Feature Extractor Box Mean Regression Classification Box Covariance Regression Bayesian Inference Anchor Level Priors Object Level Prior MC- Dropout Clustering

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