Causal reasoning meets visual representation learning: A prospective study

With the emergence of huge amounts of heterogeneous multi-modal data—including images, videos, texts/languages, audios, and multi-sensor data—deep learning-based methods have shown promising performance for various computer vision and machine learning tasks, such as visual comprehension, video understanding, visual-linguistic analysis, and multi-modal fusion.

analysis computer computer sciences computer vision data deep learning emergence fusion images languages machine machine learning multi-modal performance reasoning representation representation learning sensor study tasks understanding video videos video understanding vision visual