A multi-modal video action detector that fuses visual, audio, and scene-descriptive language features achieves new state-of-the-art results on AVA, UCF101-24, and JHMDB51-21.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts
A multi-modal video action detector that fuses visual, audio, and scene-descriptive language features achieves new state-of-the-art results on AVA, UCF101-24, and JHMDB51-21.