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Found 3 papers, 2 papers with code
Thinking Hallucination for Video Captioning
In video captioning, there are two kinds of hallucination: object and action hallucination.
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition
Specifically, we propose a joint cross-attention model that relies on the complementary relationships to extract the salient features across A-V modalities, allowing for accurate prediction of continuous values of valence and arousal.
Boosting Video Captioning with Dynamic Loss Network
A significant drawback with existing video captioning methods is that they are optimized over cross-entropy loss function, which is uncorrelated to the de facto evaluation metrics (BLEU, METEOR, CIDER, ROUGE).
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