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05/24/2023
Real time dense anomaly detection by learning on synthetic negative data
Most approaches to dense anomaly detection rely on generative modeling o...
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01/19/2023
Hybrid Open-set Segmentation with Synthetic Negative Data
Open-set segmentation is often conceived by complementing closed-set cla...
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01/09/2023
On advantages of Mask-level Recognition for Open-set Segmentation in the Wild
Most dense recognition methods bring a separate decision in each particu...
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07/06/2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition
Anomaly detection can be conceived either through generative modelling o...
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12/23/2021
Dense anomaly detection by robust learning on synthetic negative data
Standard machine learning is unable to accommodate inputs which do not b...
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06/08/2021
Densely connected normalizing flows
Normalizing flows are bijective mappings between inputs and latent repre...
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11/22/2020
