9 citations · 11 across the 7 of their papers we have counts for
7 papers
An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary
Guodong Sun, Yuting Peng, Le Cheng +5
The precise segmentation of ore images is critical to the successful execution of the beneficiation process. Due to the homogeneous appearance of the ores, which leads to low contr…
Efficient Segmentation with Texture in Ore Images Based on Box-supervised Approach
Guodong Sun, Delong Huang, Yuting Peng +3
Image segmentation methods have been utilized to determine the particle size distribution of crushed ores. Due to the complex working environment, high-powered computing equipment…
Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation
Yang Zhang, Chenyun Xiong, Junjie Liu +2
Efficient RGB-D semantic segmentation has received considerable attention in mobile robots, which plays a vital role in analyzing and recognizing environmental information. Accordi…
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…
Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images
Yang Zhang, Le Cheng, Yuting Peng +4
For the ore particle size detection, obtaining a sizable amount of high-quality ore labeled data is time-consuming and expensive. General object detection methods often suffer from…
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…