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BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection
Nevertheless, integrating OoD detection into state-of-the-art (SOTA) object detection DNNs poses significant challenges, partly due to the complexity introduced by the SOTA OoD construction methods, which require the modification of DNN architecture and the introduction of complex loss functions.
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle
In this paper, we present a novel digital twin prototype for a learning-enabled self-driving vehicle.
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