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Titlebook: Advances in Visual Computing; 14th International S George Bebis,Richard Boyle,Panpan Xu Conference proceedings 2019 Springer Nature Switzer

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3D Object Recognition with Ensemble Learning—A Study of Point Cloud-Based Deep Learning Modelsctive as the ensemble of 10 models with the same architecture. Third, a study on classic bagging (.) was tested and sources of ensemble accuracy growth were investigated for best-performing architecture, . .. We measure the inference time of all 3D classification architectures on a ., a common embed
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An Active Robotic Vision System with a Pair of Moving and Stationary Camerase belief model, the final detection results are obtained. Real world experiments show the efficacy of the proposed approach in improving the object detection performance, especially in the presence of occlusion.
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