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Efficient Multi-Scale Stereo-Matching Network Using Adaptive Cost Volume Filtering
While recent deep learning-based stereo-matching networks have shown outstanding advances, there are still some unsolved challenges. First, most state-of-the-art stereo models employ 3D convolutions for 4D cost volume aggregation, which limit the deployment of networks for resource-limited mobile en...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371070/ https://www.ncbi.nlm.nih.gov/pubmed/35898003 http://dx.doi.org/10.3390/s22155500 |