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Multimodal Intent Recognition

Intent recognition on multimodal content.

Image source: MIntRec: A New Dataset for Multimodal Intent Recognition

Papers

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Showing 1–10 of 16 papers

TitleStatusHype
WDMIR: Wavelet-Driven Multimodal Intent Recognition—0
A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition—0
EMOE: Modality-Specific Enhanced Dynamic Emotion Experts—0
TECO: Improving Multimodal Intent Recognition with Text Enhancement through Commonsense Knowledge Extraction—0
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in ConversationsCode2
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent RecognitionCode1
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional ExpertsCode0
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal AlignmentCode0
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain ConversationCode2
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