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Multimodal Alignment and Fusion A Survey by x2msst4xhg is a document available to read on EtoBox.

This survey presents a comprehensive overview of multimodal alignment and fusion techniques in machine learning, categorizing approaches through structural and methodological perspectives. It highlights key challenges such as cross-modal misalignment and data quality issues while exploring applications across various domains. The insights aim to guide future research towards optimizing multimodal systems for improved performance and generalizability.

Author
x2msst4xhg
Language
EN