1 code implementation • 10 Dec 2023 • Yang Zhang, Huilin Pan, Mingying Li, An Wang, Yang Zhou, Hongliang Ren
Existing modeling shortcomings of spatial invariance and pooling layers in conventional CNNs often ignore the neglect of crucial global information, resulting in error localization for fault objection tasks of freight trains.
no code implementations • 3 Jul 2023 • Yang Zhang, Huilin Pan, Yang Zhou, Mingying Li, Guodong Sun
Efficient visual fault detection of freight trains is a critical part of ensuring the safe operation of railways under the restricted hardware environment.
no code implementations • 26 Nov 2022 • Yang Zhang, Yang Zhou, Huilin Pan, Bo Wu, Guodong Sun
Fault detection for key components in the braking system of freight trains is critical for ensuring railway transportation safety.
no code implementations • 25 May 2022 • Guodong Sun, Yang Zhou, Huilin Pan, Bo Wu, Ye Hu, Yang Zhang
In this paper, we propose a lightweight NMS-free framework to achieve real-time detection and high accuracy simultaneously.