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07/20/2023
Optimizing PatchCore for Few/many-shot Anomaly Detection
Few-shot anomaly detection (AD) is an emerging sub-field of general AD, ...
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08/09/2021
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations
Current state-of-the-art Anomaly Detection (AD) methods exploit the powe...
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05/28/2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Anomaly Detection (AD) in images is a fundamental computer vision proble...
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05/20/2020
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
Fueled by recent advances in machine learning, there has been tremendous...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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08/29/2018