Original title: Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
Authors: Youqi Liao, Shuhao Kang, Jianping Li, Yang Liu, Yun Liu, Zhen Dong, Bisheng Yang, Xieyuanli Chen
In the world of robots, being sharp and smart is key. That’s why this new framework, Mobile-Seed, steps in. It’s tailor-made for robots, helping them not just understand what they see but also spot precise boundaries. Most models focus on one task or the other, but Mobile-Seed tackles both at once—semantic segmentation and boundary detection. How does it work? Well, it’s like having two pathways in the brain: one for understanding what things are and another for pinpointing their edges. There’s even a module that decides how much weight to give to each piece of information. This makes the whole process more accurate. And the best part? It’s not just smart; it’s fast! Even with detailed images, it can process almost 24 frames per second on a powerful graphics card. This means it’s not just powerful, it’s also quick on its robotic feet.
Original article: https://arxiv.org/abs/2311.12651