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06/15/2023
Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
This technical report introduces the winning solution of the team \texti...
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05/18/2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization
We present a novel framework, i.e., Segment Any Anomaly + (SAA+), for ze...
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03/23/2023
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Point cloud (PCD) anomaly detection steadily emerges as a promising rese...
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02/17/2023
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Most unsupervised image anomaly localization methods suffer from overgen...
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02/12/2023
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data
Intelligent fault diagnosis has made extraordinary advancements currentl...
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02/03/2023
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
In real industrial processes, fault diagnosis methods are required to le...
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07/23/2022
FastATDC: Fast Anomalous Trajectory Detection and Classification
Automated detection of anomalous trajectories is an important problem wi...
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05/01/2022
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture
Early fault detection (EFD) of rotating machines is important to decreas...
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04/27/2022
Meta-Learning Based Early Fault Detection for Rolling Bearings via Few-Shot Anomaly Detection
Early fault detection (EFD) of rolling bearings can recognize slight dev...
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12/09/2021
Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images
Targeting at depicting land covers with pixel-wise semantic categories, ...
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04/22/2019
Learning to Calibrate Straight Lines for Fisheye Image Rectification
This paper presents a new deep-learning based method to simultaneously c...
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03/16/2017