Scene Encoder

Scene encoders are crucial components in various computer vision tasks, aiming to efficiently represent complex visual scenes as compact numerical vectors for downstream processing. Current research emphasizes developing encoders that handle diverse data modalities (e.g., images, point clouds, text descriptions) and incorporate contextual information like object relationships and risk assessments, often leveraging graph neural networks or attention mechanisms for improved performance and explainability. These advancements are driving progress in autonomous driving (trajectory prediction, navigation), 3D scene understanding (visual question answering, reconstruction), and human motion generation, ultimately leading to more robust and intelligent systems.