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07/26/2023
EasyNet: An Easy Network for 3D Industrial Anomaly Detection
3D anomaly detection is an emerging and vital computer vision task in in...
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07/10/2023
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment
The problem of how to assess cross-modality medical image synthesis has ...
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04/06/2023
What makes a good data augmentation for few-shot unsupervised image anomaly detection?
Data augmentation is a promising technique for unsupervised anomaly dete...
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01/31/2023
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
Image anomaly detection (IAD) is an emerging and vital computer vision t...
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01/28/2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
In the area of fewshot anomaly detection (FSAD), efficient visual featur...
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01/27/2023
Deep Industrial Image Anomaly Detection: A Survey
The recent rapid development of deep learning has laid a milestone in in...
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02/14/2022
A Survey of Visual Sensory Anomaly Detection
Visual sensory anomaly detection (AD) is an essential problem in compute...
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02/14/2022
A Survey of Cross-Modality Brain Image Synthesis
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/29/2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss
The existence of completely aligned and paired multi-modal neuroimaging ...
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01/22/2022
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis
Utilizing the paired multi-modal neuroimaging data has been proved to be...
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02/28/2021
