Space-time video super-resolution via multi-scale feature interpolation and temporal feature fusion
Author:
Funder
the Science and Technology Foundation of Guizhou Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-024-03469-7.pdf
Reference46 articles.
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3. You, C., Yang, L., Zhang, Y., Wang, G.: Low-dose ct via deep cnn with skip connection and network-in-network. In: Developments in X-Ray tomography XII, vol 11113, pp. 429–434. SPIE, (2019)
4. You, C., Zhao, R., Staib, L. H., Duncan, J. S.: Momentum contrastive voxel-wise representation learning for semi-supervised volumetric medical image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 639–652. Springer, (2022)
5. Shahar, O., Faktor, A., Irani, M.: Space-time super-resolution from a single video. IEEE, (2011)
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