DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation

Understand

Depth estimation is an active area of research in the field of computer vision, and has garnered significant interest due to its rising demand in a large number of applications ranging from robotics and unmanned aerial vehicles to autonomous vehicles.

• A particularly challenging problem in this area is monocular depth estimation, where the goal is to infer depth from a single image.
• An effective strategy that has shown considerable promise in recent years for tackling this problem is the utilization of deep convolutional neural networks.
• Despite these successes, the memory and computational requirements of such networks have made widespread deployment in embedded scenarios very challenging.