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...
| Main Authors: | , , , |
|---|---|
| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
IEEE
2024
|