Active Contour Model Driven by Non-Local Feature Fitting Energy Function With Scalable Normalization
Abstract: It is challenging for active contour models (ACMs) to segment weak-edge and noisy images efficiently and accurately. To solve this problem, a novel ACM is proposed in this work. The proposed ...
Federated Learning Minimal Model Replacement Attack Using Optimal Transport: An Attacker Perspective
Abstract: Federated learning (FL) has emerged as a powerful collaborative learning approach that enables client devices to train a joint machine learning model without sharing private data. However, ...
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