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12/18/2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
The availability of many real-world driving datasets is a key reason beh...
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06/22/2020
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles
In this paper, we propose a novel form of the loss function to increase ...
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04/03/2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
LiDAR point-cloud segmentation is an important problem for many applicat...
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03/07/2020
Inferring Spatial Uncertainty in Object Detection
The availability of real-world datasets is the prerequisite to develop o...
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11/17/2017
