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03/21/2021
Homophily Outlier Detection in Non-IID Categorical Data
Most of existing outlier detection methods assume that the outlier facto...
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03/05/2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Unsupervised anomaly detection (UAD) learns one-class classifiers exclus...
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01/25/2021
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors
Current unsupervised anomaly detection and localisation systems are comm...
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01/25/2021
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features
In this paper, we address the problem of weakly-supervised video anomaly...
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12/05/2020
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data
Depression is among the most prevalent mental disorders, affecting milli...
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09/22/2020
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
Person Re-IDentification (ReID) aims at re-identifying persons from diff...
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09/15/2020
Deep Reinforcement Learning for Unknown Anomaly Detection
We address a critical yet largely unsolved anomaly detection problem, in...
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07/06/2020
Deep Learning for Anomaly Detection: A Review
Anomaly detection, a.k.a. outlier detection, has been a lasting yet acti...
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03/15/2020