Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection

no code implementations • 21 Jun 2023 • Jinye Qu, Zeyu Gao, Tielin Zhang, YanFeng Lu, Huajin Tang, Hong Qiao

We also present a SNN-based ultra-low latency and high accurate object detection model (SUHD) that achieves state-of-the-art performance on nontrivial datasets like PASCAL VOC and MS COCO, with about remarkable 750x fewer timesteps and 30% mean average precision (mAP) improvement, compared to the Spiking-YOLO on MS COCO datasets.

Object object-detection +1

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

no code implementations • 8 Oct 2022 • Zeyu Gao, Yao Mu, Chen Chen, Jingliang Duan, Shengbo Eben Li, Ping Luo, YanFeng Lu

End-to-end autonomous driving provides a feasible way to automatically maximize overall driving system performance by directly mapping the raw pixels from a front-facing camera to control signals.

Autonomous Driving