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11/20/2022
Are Out-of-Distribution Detection Methods Reliable?
This paper establishes a novel evaluation framework for assessing the pe...
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07/03/2022
Augment to Detect Anomalies with Continuous Labelling
Anomaly detection is to recognize samples that differ in some respect fr...
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07/03/2022
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Anomaly detection is to identify samples that do not conform to the dist...
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03/27/2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
Novelty detection is the task of recognizing samples that do not belong ...
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10/23/2020
IPU-Net: Multi Scale Identity-Preserved U-Net for Low Resolution Face Recognition
State-of-the-art deep neural network models have reached near perfect fa...
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10/16/2020
Latent Vector Recovery of Audio GANs
Advanced Generative Adversarial Networks (GANs) are remarkable in genera...
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09/11/2020
