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Mode-locking Theory for Long-Range Interaction in Artificial Neural Networks
We verify this theory through simulation experiments and demonstrate the mode-locking pattern in real-world scene models.
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery.
ProMask: Probability Mask for Skeleton Detection
Detecting object skeletons in natural images presents challenging, due to varied object scales, the complexity of backgrounds and various noises.
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