AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SimHum is presented, a co-training recipe that extracts kinematic priors from simulation and visual priors from human observations, then fine-tunes on a small real-robot dataset, which exhibits strong scene-generalizable and data-efficient capabilities.
To facilitate smart wearable devices or human-like robotics with real-time first-person perspective perception ability, recent researchers proposed the Egocentric Online Action Segmentation (EOAS) task. It requires models to recognize what is happening in egocentric streaming videos and discriminate the starting and en...
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