Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models

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RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, methodology): “The curves under the images are the accelerometer data at 50 Hz of devices attached to the knife, the mixing spoon, the small spoon, the peeler, the glass, the oil bottle, and the pepper dispenser mentioned datasets above, another 26 extra RGB-D datasets for different applications are also added int”
SEGCloud: Semantic Segmentation of 3D Point Clouds (2017, background): “Several 3D Scene datasets have been made available to the research community [56, 4, 5, 31, 59, 72, 52, 16, 24, 74].”
Object Discovery: Soft Attributed Graph Mining (2016, methodology): “8, in our previous studies [7], [36], [37], we designed ARGs to represent objects in RGB-D images.”
Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns (2014, methodology): “Here, we briefly introduce these attributes (please refer to [29, 30] for more details of attribute settings).”