A weakly supervised audio-visual video parser that reweights cross-modal interaction by feature similarity and injects pseudo-label text semantics achieves higher F-scores than prior methods on LLP.
Modality-independent teachers meet weakly-supervised audio-visual event parser
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
LINK: Adaptive Modality Interaction for Audio-Visual Video Parsing
A weakly supervised audio-visual video parser that reweights cross-modal interaction by feature similarity and injects pseudo-label text semantics achieves higher F-scores than prior methods on LLP.