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GTEA

Georgia Tech Egocentric Activity

홈페이지 · 논문 120편

The Georgia Tech Egocentric Activities (GTEA) dataset contains seven types of daily activities such as making sandwich, tea, or coffee. Each activity is performed by four different people, thus totally 28 videos. For each video, there are about 20 fine-grained action instances such as take bread, pour ketchup, in approximately one minute. Source: TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation Image Source: http://cbs.ic.gatech.edu/fpv/

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벤치마크

Action Segmentation on GTEA 결과 56개
Weakly Supervised Action Localization on GTEA 결과 30개