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...
| Автори: | , , , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
IEEE
2023
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