FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation

@article{Kong2021FastFlowNetAL,
  title={FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation},
  author={Lingtong Kong and Chunhua Shen and Jie Yang},
  journal={2021 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2021},
  pages={10310-10316}
}
Dense optical flow estimation plays a key role in many robotic vision tasks. In the past few years, with the advent of deep learning, we have witnessed great progress in optical flow estimation. However, current networks often consist of a large number of parameters and require heavy computation costs, largely hindering its application on low power-consumption devices such as mobile phones. In this paper, we tackle this challenge and design a lightweight model for fast and accurate optical flow… 

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