Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios

• URL: http://arxiv.org/abs/2305.12397v2
• Date: Fri, 8 Dec 2023 08:44:54 GMT
• Title: Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
• Authors: Yuanyuan Jiang and Jianqin Yin
• Abstract summary: This paper proposes a new target-aware joint-temporal grounding network for audio-visual question answering (AVQA) It consists of two key components: target-aware spatial grounding module (TSG) and the single-stream joint audio-visual temporal grounding module (JTG) The JTG incorporates audio-visual fusion and question-aware temporal grounding into one module with a simpler single-stream architecture.
• Score: 7.938379811969159
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Audio-visual question answering (AVQA) is a challenging task that requires multistep spatio-temporal reasoning over multimodal contexts. Recent works rely on elaborate target-agnostic parsing of audio-visual scenes for spatial grounding while mistreating audio and video as separate entities for temporal grounding. This paper proposes a new target-aware joint spatio-temporal grounding network for AVQA. It consists of two key components: the target-aware spatial grounding module (TSG) and the single-stream joint audio-visual temporal grounding module (JTG). The TSG can focus on audio-visual cues relevant to the query subject by utilizing explicit semantics from the question. Unlike previous two-stream temporal grounding modules that required an additional audio-visual fusion module, JTG incorporates audio-visual fusion and question-aware temporal grounding into one module with a simpler single-stream architecture. The temporal synchronization between audio and video in the JTG is facilitated by our proposed cross-modal synchrony loss (CSL). Extensive experiments verified the effectiveness of our proposed method over existing state-of-the-art methods.

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