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...
Main Authors: | Huh, J, Chalk, J, Kazakos, E, Damen, D, Zisserman, A |
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Format: | Conference item |
Jezik: | English |
Izdano: |
IEEE
2023
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