research
∙
08/20/2023
An interpretable deep learning method for bearing fault diagnosis
Deep learning (DL) has gained popularity in recent years as an effective...
share
research
∙
07/17/2023
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Accurate battery lifetime prediction is important for preventative maint...
research
∙
06/25/2023
When SAM Meets Sonar Images
Segment Anything Model (SAM) has revolutionized the way of segmentation....
research
∙
05/07/2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
On top of machine learning models, uncertainty quantification (UQ) funct...
research
∙
04/26/2023
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Operators from various industries have been pushing the adoption of wire...
research
∙
02/24/2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks
Hypergraph neural networks (HGNN) have shown superior performance in var...
research
∙
12/25/2022
A Lightweight Reconstruction Network for Surface Defect Inspection
Currently, most deep learning methods cannot solve the problem of scarci...
research
∙
12/12/2022
Multi-scale Feature Imitation for Unsupervised Anomaly Localization
The unsupervised anomaly localization task faces the challenge of missin...
research
∙
12/03/2022
IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection
Due to the lack of depth information of images and poor detection accura...
research
∙
11/23/2022
Data Augmentation Vision Transformer for Fine-grained Image Classification
Recently, the vision transformer (ViT) has made breakthroughs in image r...
research
∙
11/18/2022
Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection
Aiming at the problem that the current video anomaly detection cannot fu...
research
∙
11/10/2022
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance
Considerable unsupervised video object segmentation algorithms based on ...
research
∙
10/18/2022
Spatio-Temporal-based Context Fusion for Video Anomaly Detection
Video anomaly detection aims to discover abnormal events in videos, and ...
research
∙
11/22/2021
CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images
The task of instance segmentation in remote sensing images, aiming at pe...
research
∙
08/25/2021
Normal Learning in Videos with Attention Prototype Network
Frame reconstruction (current or future frame) based on Auto-Encoder (AE...
research
∙
07/13/2019