YOEO - You Only Encode Once

3 June 2021, by J. Gutsche, F. Vahl

Photo: C M | unsplash

Fast and accurate visual perception utilizing the limited robot’s hardware is necessary to compete in the RoboCup Humanoid Soccer League domain. Such a computer vision architecture needs to adapt to various and dynamic scenarios. We are planning to develop a novel architecture, YOEO, a hybrid CNN unifying previous object detection and semantic segmentation approaches using one shared encoder backbone with model optimizations for the deployment on edge devices in mind. We also address solutions regarding incomplete and insufficient labeling data. This is required because of the unification of the two previously separate handled and trained approaches.

Participants: J. Gutsche, F. Vahl