Heterogeneous Multimodal Fusion Using Deep Learning for Improved Feature Extraction and Benchmark Evaluation
: Multimodal learning has emerged as a critical paradigm in artificial intelligence, enabling systems to integrate information from diverse data sources such as text, images, audio, and video. However, effectively fusing heterogeneous modalities remains challenging due to differences in feature dimensions, semantic rep...