Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction

Similar to specific natural language instructions, intention-related natural language queries also play an essential role in our daily life communication. Inspired by the psychology term “affordance” and its applications in Human-Robot interaction, we propose an object affordance-based natural langu...

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Huvudupphovsmän: Jinpeng Mi, Hongzhuo Liang, Nikolaos Katsakis, Song Tang, Qingdu Li, Changshui Zhang, Jianwei Zhang
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2020-05-01
Serie:Frontiers in Neurorobotics
Ämnen:
intention-related natural language grounding
object affordance detection
intention semantic extraction
multi-visual features
attention-based dynamic fusion
Länkar:https://www.frontiersin.org/article/10.3389/fnbot.2020.00026/full
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