Existing vision-language models (VLMs) mostly rely on vision encoders to extract visual
features followed by large language models (LLMs) for visual-language tasks. However, the …

Distance metric learning is a subfield of machine learning that aims to learn a discriminative
space in which samples of the same class are closer and samples of different classes are …

Fine-tuning pre-trained vision models for specific tasks is a common practice in computer
vision. However, this process becomes more expensive as models grow larger. Recently …

Abstract In the Multimodal Sentiment Analysis task, most existing approaches focus on
extracting modality-consistent information from raw unimodal data and integrating it into …