Scene Context

Scene context, the surrounding environment and its influence on events within it, is a crucial factor in various computer vision tasks. Current research focuses on integrating scene context into models using techniques like transformers, convolutional neural networks, and diffusion models, aiming to improve the accuracy and robustness of applications such as action recognition, human trajectory prediction, and image generation. This is achieved by incorporating scene information (e.g., object locations, weather conditions) to enhance model understanding and prediction capabilities. The improved understanding of scene context has significant implications for advancing autonomous systems, human-computer interaction, and multimedia forensics.