HybridNets: End-to-End Perception Network End-to-end Network has become increasingly important in multi-tasking. One prominent example of this is the growing significance of a driving perception system in autonomous driving. In this post we will briefly step into the big world of this kind of networks, called hybrid nets. Introduction Recent advances in embedded systems' computational power and neural networks' performance have made autonomous driving an active field in computer vision. Ideally, to create a vehicle capable of driving itself is to feed it with every bit of information available in its immediate surroundings. Methodology Let's have a look on the architecture of those end-to-end networks that can multitask. As shown in the figure our one-stage network includes one sharing encoder and two separated decoders to solve distinct tasks. Experimentation and evalu...