A research team from Sichuan University has proposed a lightweight and robust entropy-regularized unsupervised domain adaptation framework (LRE-UDAF ...
There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...
Abstract: An unsupervised deep learning framework is proposed for solving 2-D electromagnetic inverse scattering problems (ISPs) with either full- or phaseless-data (PD), featuring good accuracy, ...
We propose an unsupervised, annotation-free method to detect key cardiac phases—end-diastole (ED) and end-systole (ES)—from echocardiography videos. Our method learns interpretable motion trajectories ...
Abstract: Clothing-changing person re-identification (CC-ReID) aims to address cross-camera person identification challenges caused by variations in pedestrian attire, making it a highly valuable ...
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