Abstract: In the stereo matching task, matching cost aggregation is crucial in both traditional methods and deep neural network models in order to accurately estimate disparities. We propose two novel ...
Abstract: For many real-world engineering optimization applications, evolutionary algorithms require a large number of fitness evaluations via expensive simulations or experiments. However, in some ...
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