AI RESEARCH
EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond
arXiv CS.CV
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ArXi:2411.18328v2 Announce Type: replace Event-based Action Recognition (EAR) possesses the advantages of high-temporal resolution capturing and privacy preservation compared with traditional action recognition. Current leading EAR solutions typically follow two regimes: project unconstructed event streams into dense constructed event frames and adopt powerful frame-specific networks, or employ lightweight point-specific networks to handle sparse unconstructed event points directly.