869 citations · 1.3k across the 4 of their papers we have counts for
9 papers
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels
Álvaro García Faura, Dejan Štepec, Tomaž Martinčič +1
A key component towards an improved and fast cancer diagnosis is the development of computer-assisted tools. In this article, we present the solution that won the SegPC-2021 compet…
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj
Visual surface anomaly detection aims to detect local image regions that significantly deviate from normal appearance. Recent surface anomaly detection methods rely on generative m…
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery
Dejan Stepec, Tomaz Martincic, Danijel Skocaj
In this paper, we present a ship detection pipeline for low-cost medium resolution satellite optical imagery obtained from ESA Sentinel-2 and Planet Labs Dove constellations. This…
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Dejan Stepec, Danijel Skocaj
Anomaly detection in visual data refers to the problem of differentiating abnormal appearances from normal cases. Supervised approaches have been successfully applied to different…
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Dejan Stepec, Danijel Skocaj
Detection of visual anomalies refers to the problem of finding patterns in different imaging data that do not conform to the expected visual appearance and is a widely studied prob…
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Jakob Božič, Domen Tabernik, Danijel Skočaj
Deep-learning methods have recently started being employed for addressing surface-defect detection problems in industrial quality control. However, with a large amount of data need…