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• W2980339970 abstract "The recently proposed audio-visual scene-aware dialog task paves the way to a more data-driven way of learning virtual assistants, smart speakers and car navigation systems. However, very little is known to date about how to effectively extract meaningful information from a plethora of sensors that pound the computational engine of those devices. Therefore, in this paper, we provide and carefully analyze a simple baseline for audio-visual scene-aware dialog which is trained end-to-end. Our method differentiates in a data-driven manner useful signals from distracting ones using an attention mechanism. We evaluate the proposed approach on the recently introduced and challenging audio-visual scene-aware dataset, and demonstrate the key features that permit to outperform the current state-of-the-art by more than 20% on CIDEr." @default.
• W2980339970 created "2019-10-25" @default.
• W2980339970 creator A5000106487 @default.
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• W2980339970 date "2019-06-01" @default.
• W2980339970 modified "2023-09-30" @default.
• W2980339970 title "A Simple Baseline for Audio-Visual Scene-Aware Dialog" @default.
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• W2980339970 doi "https://doi.org/10.1109/cvpr.2019.01283" @default.
• W2980339970 hasPublicationYear "2019" @default.
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