Real-time Estimation of DoS Duration and Frequency for Security Control

no code implementations • 10 Dec 2023 • Yifan Sun, Jianquan Lu, Daniel W. C. Ho, Lulu Li

In this paper, we develop a new denial-of-service (DoS) estimator, enabling defenders to identify duration and frequency parameters of any DoS attacker, except for three edge cases, exclusively using real-time data.

YOLOv6 v3.0: A Full-Scale Reloading

5 code implementations • 13 Jan 2023 • Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu

For a glimpse of performance, our YOLOv6-N hits 37. 5% AP on the COCO dataset at a throughput of 1187 FPS tested with an NVIDIA Tesla T4 GPU.

Real-Time Object Detection

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

7 code implementations • 7 Sep 2022 • Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, Liang Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei

The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.

Object Detection Quantization

Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control

no code implementations • 8 Mar 2022 • Ruijie Zhu, Lulu Li, Shuning Wu, Pei Lv, Yafai Li, Mingliang Xu

Existing approaches of MAS are largely based on Multi-Agent Deep Reinforcement Learning (MADRL).

reinforcement-learning Reinforcement Learning (RL)