AI RESEARCH
Ego-METAS: Egocentric online Multimodal Energy-efficient Temporal Action Segmentation benchmark
arXiv CS.CV
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ArXi:2606.02246v1 Announce Type: new To operate in the physical world, embodied agents must perceive their environment in an "always-on" fashion, selectively accessing the most informative sensors to balance energy constraints and task accuracy. Despite its importance for resource-constrained devices, energy-aware perception remains under-explored, with most prior work assuming unlimited compute. To address this, we