Coarse-to-fine Face Depth Super-Resolution with Attentive Feature Selection-Reference-Cited by-同舟云学术

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Coarse-to-fine Face Depth Super-Resolution with Attentive Feature Selection

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Zhang Fan¹,Liu Na¹,Duan Fuqing¹

Affiliation:

1. Beijing Normal University,College of Artificial Intelligence,Beijing,China,100875

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956473.pdf?arnumber=9956473

Reference31 articles.

1. Kinect v2 for mobile robot navigation: Evaluation and modeling

2. Adam: A method for stochastic optimization;kingma,2014

3. Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution

4. Depth upsampling based on deep edge-aware learning

5. Variable Bandwidth Weighting for Texture Copy Artifact Suppression in Guided Depth Upsampling

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