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 ...
When ransomware hits, the instinct is to get systems back online as quickly as possible. But if the attack is on your Active ...
Abstract: Diffusion-based image synthesis models have gained a lot of traction in recent years. However, a notable observation is that when trained on smaller datasets, diffusion models tend to ...
[Context and motivation] Large language models (LLMs) show promising results in natural language processing (NLP) tasks for requirements engineering (RE). However, their use is limited by high ...
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