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08/02/2022
DSR – A dual subspace re-projection network for surface anomaly detection
The state-of-the-art in discriminative unsupervised surface anomaly dete...
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11/08/2021
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
A key component towards an improved and fast cancer diagnosis is the dev...
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08/17/2021
DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection
Visual surface anomaly detection aims to detect local image regions that...
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04/28/2021
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery
In this paper, we present a ship detection pipeline for low-cost medium ...
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04/28/2021
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Anomaly detection in visual data refers to the problem of differentiatin...
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04/28/2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Detection of visual anomalies refers to the problem of finding patterns ...
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04/13/2021
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Deep-learning methods have recently started being employed for addressin...
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07/15/2020
End-to-end training of a two-stage neural network for defect detection
Segmentation-based, two-stage neural network has shown excellent results...
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04/01/2019
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Automatic detection and recognition of traffic signs plays a crucial rol...
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03/20/2019
