Abstract: As LiDAR-based 3-D object detection gains attention, existing research on point cloud adversarial attacks has exposed vulnerabilities in 3-D neural network models, which can further impact ...
Abstract: Supervised object detection requires annotated datasets for training and evaluation purposes. However, human annotation of large datasets is error-prone, and frequent mistakes are erroneous ...
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