Exploration of a ViT-based multimodal approach to Vehicle Accident Detection

Multimodal Deep Learning (MMDL) has emerged as a potent framework for synthesizing information from diverse data sources, enhancing the capability of models to understand and predict complex phenomena. Particularly, Vision Transformers (ViT) have shown promising results in processing visual data alo...