Depth Aware CNNs

Depth-aware CNNs are advanced neural networks designed to understand not just what is in an image, but also how far each object is from the viewer. By incorporating depth information—such as how close or far away different parts of a scene are—they improve tasks like 3D reconstruction, scene understanding, and navigation. These networks combine traditional image analysis with depth data from sensors or estimates, allowing for more accurate interpretation of complex environments. Essentially, they provide a richer, more detailed understanding of spatial relationships within a visual scene.