Separating the “chirp” from the “chat”: self-supervised visual grounding of sound and language
We present DenseAV, a novel dual encoder grounding architecture that learns high-resolution, semantically meaningful, and audio-visual aligned features solely through watching videos. We show that DenseAV can discover the “meaning” of words and the “location” of sounds without explicit localization...
| Автори: | , , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
IEEE
2024
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