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Found 2 papers, 1 papers with code
Evaluating CNNs on the Gestalt Principle of Closure
Deep convolutional neural networks (CNNs) are widely known for their outstanding performance in classification and regression tasks over high-dimensional data.
Fast algorithms for morphological operations using run-length encoded binary images
This paper presents innovative algorithms to efficiently compute erosions and dilations of run-length encoded (RLE) binary images with arbitrary shaped structuring elements.
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