GA-Net: Guided aggregation net for end-to-end stereo matching
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 neural net layers, aimed at capturing local and the whole-image cost dependencies respectively. The first is...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
IEEE
2020
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