Multi-Purpose Convolutional Neural Networks and Efficient Depth Estimation
Convolutional neural networks are powerful tools for many tasks in computer vision. However, when performing multiple tasks, such as object detection and depth estimation, several networks may be employed which is computationally expensive and inefficient. We outline a framework that share
