HIGHLIGHTS
- who: Joint Object Affordance Reasoning and collaborators from the School of Engineering, The University of Edinburgh, Edinburgh , JL, UKof Electrical Computer Engineering, University of Thessaly, Volos, Greece have published the research work: Joint Object Affordance Reasoning and Segmentation in RGB-D Videos, in the Journal: (JOURNAL)
- what: The authors focus on both tasks while addressing all three aforementioned shortcomings. The authors propose a deep-learning based dual encoder-decoder model for segmentation which learns from the recently introduced SOR3D-AFF corpus of RGB-D interaction videos without relying on localization classification. Inspired by the above . . .
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