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Contextual augmented global contrast for multimodal intent recognition
Multimodal intent recognition (MIR) aims to perceive the human intent polarity via language
visual and acoustic modalities. The inherent intent ambiguity makes it challenging to …
visual and acoustic modalities. The inherent intent ambiguity makes it challenging to …
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs
Recent advancements in Multimodal Large Language Models (MLLMs) have revolutionized
the field of vision-language understanding by integrating visual perception capabilities into …
the field of vision-language understanding by integrating visual perception capabilities into …
A Survey of Multimodal Composite Editing and Retrieval
In the real world, where information is abundant and diverse across different modalities,
understanding and utilizing various data types to improve retrieval systems is a key focus of …
understanding and utilizing various data types to improve retrieval systems is a key focus of …
X-Former: Unifying contrastive and reconstruction learning for MLLMs
Abstract Recent advancements in Multimodal Large Language Models (MLLMs) have
revolutionized the field of vision-language understanding by integrating visual perception …
revolutionized the field of vision-language understanding by integrating visual perception …