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Found 5 papers, 1 papers with code
Sound Source Localization is All about Cross-Modal Alignment
However, prior arts and existing benchmarks do not account for a more important aspect of the problem, cross-modal semantic understanding, which is essential for genuine sound source localization.
Hindi as a Second Language: Improving Visually Grounded Speech with Semantically Similar Samples
The objective of this work is to explore the learning of visually grounded speech models (VGS) from multilingual perspective.
Generative Bias for Robust Visual Question Answering
In this work, in order to better learn the bias a target VQA model suffers from, we propose a generative method to train the bias model directly from the target model, called GenB.
Audio-Visual Fusion Layers for Event Type Aware Video Recognition
Human brain is continuously inundated with the multisensory information and their complex interactions coming from the outside world at any given moment.
Learning Sound Localization Better From Semantically Similar Samples
Thus, these semantically correlated pairs, "hard positives", are mistakenly grouped as negatives.
