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06/23/2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
We present DiffInfinite, a hierarchical diffusion model that generates a...
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02/03/2023
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H E-stained slides
In this paper, we present a deep learning segmentation approach to class...
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05/23/2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Traditionally anomaly detection (AD) is treated as an unsupervised probl...
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10/05/2020
Deep Anomaly Detection by Residual Adaptation
Deep anomaly detection is a difficult task since, in high dimensions, it...
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09/29/2020
Geometric Disentanglement by Random Convex Polytopes
Finding and analyzing meaningful representations of data is the purpose ...
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09/24/2020
A Unifying Review of Deep and Shallow Anomaly Detection
Deep learning approaches to anomaly detection have recently improved the...
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07/03/2020
Explainable Deep One-Class Classification
Deep one-class classification variants for anomaly detection learn a map...
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06/18/2020
The Clever Hans Effect in Anomaly Detection
The 'Clever Hans' effect occurs when the learned model produces correct ...
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05/30/2020
Rethinking Assumptions in Deep Anomaly Detection
Though anomaly detection (AD) can be viewed as a classification problem ...
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01/24/2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Anomaly detection algorithms find extensive use in various fields. This ...
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06/06/2019