Abstract: Learning object affordances is an effective tool in the field of robot learning. While the data-driven models investigate affordances of single or paired objects, there is a gap in the ...
Abstract: Since the height and angle are not fixed when the drone is flying, the taken images have the faults of diverse scales, complex backgrounds, severe occlusions, meanwhile the objects are ...
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