LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Estimate optical flow in images using a lightweight neural network designed for speed and accuracy.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
LiteFlowNet has 632 stars on GitHub. It has been forked 104 times. LiteFlowNet is written mainly in C++. It has been in active development since 2018. Its main topics are caffe, cnn, computer-vision, cvpr2018.
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
LiteFlowNet is an open-source project.
Yes. LiteFlowNet is free and open source — you can use, modify and self-host it.
LiteFlowNet is written mainly in C++.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/twhui-liteflownet.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.