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Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning
Wei-Hsiang Shen, Meng-Lin Li
Deep learning has shown great success in high-level image analysis problems; yet its efficacy relies on the quality and diversity of the training data. In this work, we introduce a…
Phase Aberration Correction with Adaptive Coherence-Weighted Point Spread Function Restoration Filtering Technique
Wei-Hsiang Shen, Yu-An Lin, Pai-Chi Li +1
Phase aberration is an inherent side effect of ultrasound imaging due to the speed of sound inhomogeneity nature of human tissues, resulting in focusing error and reduced image con…
Fast calibration for ultrasound imaging guidance based on depth camera
Fuqiang Zhao, Mingchang Li, Mengde Li +2
During the process of robot-assisted ultrasound(US) puncture, it is important to estimate the location of the puncture from the 2D US images. To this end, the calibration of the US…
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Ganesh Jawahar, Haichuan Yang, Yunyang Xiong +10
Weight-sharing supernets are crucial for performance estimation in cutting-edge neural architecture search (NAS) frameworks. Despite their ability to generate diverse subnetworks w…
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
Jiqing Zhang, Yuanchen Wang, Wenxi Liu +4
Most existing RGB-based trackers target low frame rate benchmarks of around 30 frames per second. This setting restricts the tracker's functionality in the real world, especially f…
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain
Zhibo Xing, Zijian Zhang, Meng Li +4
Since the concern of privacy leakage extremely discourages user participation in sharing data, federated learning has gradually become a promising technique for both academia and i…