Epic-sounds: a large-scale dataset of actions that sound

We introduce EPIC-SOUNDS, a large-scale dataset of audio annotations capturing temporal extents and class labels within the audio stream of the egocentric videos from EPIC-KITCHENS-100. We propose an annotation pipeline where annotators temporally label distinguishable audio segments and describe th...

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Xehetasun bibliografikoak
Egile Nagusiak: Huh, J, Chalk, J, Kazakos, E, Damen, D, Zisserman, A
Formatua: Conference item
Hizkuntza:English
Argitaratua: IEEE 2023

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