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Pruning multi-view stereo net for efficient 3D reconstruction

  • Published:2020-10 Issue: Volume:168 Page:17-27
  • ISSN:0924-2716
  • Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
  • language:en
  • Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Xiang Xiang,Wang Zhiyuan,Lao Shanshan,Zhang BaochangORCID

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference53 articles.

1. Learning the number of neurons in deep networks;Alvarez;Adv. Neural Informat. Process. Syst.,2016

2. Compression-aware training of deep networks;Alvarez;Adv. Neural Informat. Process. Syst.,2017

3. Structured pruning of deep convolutional neural networks;Anwar;ACM J. Emerg. Technol. Comput. Syst. (JETC),2017

4. A fast iterative shrinkage-thresholding algorithm for linear inverse problems;Beck;SIAM J. Imag. Sci.,2009

5. Patchmatch stereo-stereo matching with slanted support windows;Bleyer;Bmvc,2011

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1. Adaptive fish school search optimized resnet for multi-view 3D objects reconstruction;Multimedia Tools and Applications;2024-02-27

2. Edge aware depth inference for large-scale aerial building multi-view stereo;ISPRS Journal of Photogrammetry and Remote Sensing;2024-01

3. Network Pruning;Computational Intelligence Methods and Applications;2024

4. Masked Autoencoders Are Stronger Knowledge Distillers;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Multi-View Stereo Network With Gaussian Distribution Iteration;IEEE Access;2023
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