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Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
The ability to segment unknown objects in depth images has potential to enhance robot skills in grasping and object tracking. Recent computer vision research has demonstrated that Mask R-CNN can be trained to segment specific categories of objects in RGB images when massive hand-labeled datasets are available. As generating these …