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[IEEE TPAMI 2024] SimSID: unsupervised anomaly detection in chest radiography. SimSID learns the recurrent anatomical patterns of normal chest X-rays and flags deviations, using no anomaly labels in training. +8.0% / +5.0% / +9.9% AUC over prior state of the art on ZhangLab, COVIDx and CheXpert. TPAMI extension of SQUID (CVPR 2023).
Implementation of our paper entitiled FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow published in TIM.
This is the source code of the paper "A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles", accepted by TheWebConf 2021.