SOTAVerified

Audio-visual Question Answering

Papers

Showing 110 of 27 papers

TitleStatusHype
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and DatasetCode2
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual ScenariosCode2
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and DatasetCode2
Boosting Audio Visual Question Answering via Key Semantic-Aware CuesCode1
PAVE: Patching and Adapting Video Large Language ModelsCode1
Learning Trimodal Relation for AVQA with Missing ModalityCode1
Learning to Answer Questions in Dynamic Audio-Visual ScenariosCode1
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question AnsweringCode1
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg VideosCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VASTAcc80.7Unverified
2CoQo(Internvideo2)Acc79.6Unverified
3VALORAcc78.9Unverified
4CADAcc78.26Unverified
5LAVISHAcc77.08Unverified
6ST-AVQAAcc71.52Unverified