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PCLNet

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

Install / Use

/learn @Kwanss/PCLNet
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

PCLNet

This repo contains source code for the paper:

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM. In Proceedings of IEEE International Conference on Multimedia and Expo(ICME). 2019.

Framework

Acknowledgement

The implementation for Mean Structural Similarity (MSSIM) metric (models/ssim_module.py) is derived from: https://github.com/Po-Hsun-Su/pytorch-ssim.git

Citations

If you use PCLNet, please cite the following paper:

@InProceedings{PCLNet-icme2019,
  author    = {Shuosen Guan, Haoxin Li, Wei-Shi Zheng},
  title     = {Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM},
  booktitle = {Proceedings of IEEE International Conference on Multimedia and Expo(ICME)},
  year      = {2019},
}
View on GitHub
GitHub Stars37
CategoryEducation
Updated1y ago
Forks6

Languages

Python

Security Score

80/100

Audited on Nov 28, 2024

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