9 citations · 9 across the 6 of their papers we have counts for
5 papers · 1 filter
Efficient Visual Fault Detection for Freight Train via Neural Architecture Search with Data Volume Robustness
Yang Zhang, Mingying Li, Huilin Pan +2
Deep learning-based fault detection methods have achieved significant success. In visual fault detection of freight trains, there exists a large characteristic difference between i…
Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains
Yang Zhang, Huilin Pan, Mingying Li +3
Despite the successful application of convolutional neural networks (CNNs) in object detection tasks, their efficiency in detecting faults from freight train images remains inadequ…
Efficient Visual Fault Detection for Freight Train Braking System via Heterogeneous Self Distillation in the Wild
Yang Zhang, Huilin Pan, Yang Zhou +2
Efficient visual fault detection of freight trains is a critical part of ensuring the safe operation of railways under the restricted hardware environment. Although deep learning-b…
Visual Fault Detection of Multi-scale Key Components in Freight Trains
Yang Zhang, Yang Zhou, Huilin Pan +2
Fault detection for key components in the braking system of freight trains is critical for ensuring railway transportation safety. Despite the frequently employed methods based on…
A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight Trains
Guodong Sun, Yang Zhou, Huilin Pan +3
Real-time vision-based system of fault detection (RVBS-FD) for freight trains is an essential part of ensuring railway transportation safety. Most existing vision-based methods sti…