Crossflow: Learning Better Cost Volumes for Optical Flow by Crossing Non-Local and Local Information

Author:

Liu Zimeng,Liu Ziyang,Wu Xingming,Chen Weihai,Liu Zhong,Li Zhengguo

Publisher

Elsevier BV

Reference47 articles.

1. An "optical flow" method based on pressure sensors data for quantification of parkinson's disease characteristics;C Dong;Biomedical Signal Processing and Control,2023

2. Three dimensional tracking of rigid objects in motion using 2d optical flows;R Marikhu;Image and Vision Computing,2024

3. Faminet: Learning realtime semisupervised video object segmentation with steepest optimized optical flow;Z Liu;IEEE Transactions on Instrumentation and Measurement,2021

4. Flownet: Learning optical flow with convolutional networks;A Dosovitskiy;Proceedings of the IEEE international conference on computer vision,2015

5. Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume;D Sun;Proceedings of the IEEE conference on computer vision and pattern recognition,2018

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