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    • Probabilistic Object Detection and Uncertainty Estimation
      • BayesOD
      • Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
      • Gaussian YOLOv3
      • Dropout Sampling for Robust Object Detection in Open-Set Condition
      • *Sampling Free Epistemic Uncertainty Estimation using Approximated Variance Propagation
      • Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
      • Can We Trust You? On Calibration of Probabilistic Object Detector for Autonomous Driving
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  1. Papers

Probabilistic Object Detection and Uncertainty Estimation

Summaries of papers about Uncertainty Estimation and Probability Estimation

BayesODchevron-rightLeveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detectionchevron-rightGaussian YOLOv3chevron-rightDropout Sampling for Robust Object Detection in Open-Set Conditionchevron-right*Sampling Free Epistemic Uncertainty Estimation using Approximated Variance Propagationchevron-rightMulti-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semanticschevron-rightCan We Trust You? On Calibration of Probabilistic Object Detector for Autonomous Drivingchevron-right
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Last updated 5 years ago