HOI4D
Introduced by Liu et al. in HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
A large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction. HOI4D consists of 2.4M RGB-D egOCentric video frames over 4000 sequences collected by 4 participants interacting with 800 different object instances from 16 categories over 610 different indoor rooms.
Papers
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