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Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image
We thus also introduce a synthetic dataset of dense homogeneous object layouts, namely Mikado, which extensibly contains more instances and inter-instance occlusions per image than these public datasets.
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network
We thus propose a step towards a practical interactive application for generating an object-oriented robotic grasp, requiring as inputs only one depth map of the scene and one user click on the next object to extract.
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