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07/03/2023
Hierarchical Open-vocabulary Universal Image Segmentation
Open-vocabulary image segmentation aims to partition an image into seman...
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02/16/2023
Masking and Mixing Adversarial Training
While convolutional neural networks (CNNs) have achieved excellent perfo...
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09/12/2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Data augmentation is an essential technique for improving recognition ac...
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08/25/2022
Refine and Represent: Region-to-Object Representation Learning
Recent works in self-supervised learning have demonstrated strong perfor...
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05/11/2022
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net
Color images are easy to understand visually and can acquire a great dea...
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04/15/2022
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder
In action understanding in indoor, we have to recognize human pose and a...
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07/27/2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Unsupervised anomaly detection with localization has many practical appl...
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03/10/2021
