Lightweight monocular depth estimation using a fusion-improved transformer
Abstract The existing deep estimation networks often overlook the issue of computational efficiency while pursuing high accuracy. This paper proposes a lightweight self-supervised network that combines convolutional neural networks (CNN) and Transformers as the feature extraction and encoding layers...
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| Huvudupphov: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Nature Portfolio
2024-09-01
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| Serie: | Scientific Reports |
| Ämnen: | |
| Länkar: | https://doi.org/10.1038/s41598-024-72682-8 |
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