For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback