Grasping detection network with uncertainty estimation for confidence-driven semi-supervised domain adaptation
Data-efficient domain adaptation with only a few labelled data is desired for many robotic
applications, eg, in grasping detection, the inference skill learned from a grasping dataset is
not universal enough to directly apply on various other daily/industrial applications. This
paper presents an approach enabling the easy domain adaptation through a novel grasping
detection network with confidence-driven semi-supervised learning, where these two
components deeply interact with each other. The proposed grasping detection network …
applications, eg, in grasping detection, the inference skill learned from a grasping dataset is
not universal enough to directly apply on various other daily/industrial applications. This
paper presents an approach enabling the easy domain adaptation through a novel grasping
detection network with confidence-driven semi-supervised learning, where these two
components deeply interact with each other. The proposed grasping detection network …
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