# JingchunCheng/SegFlow

<https://repo.masters-masters.com/en/repos/JingchunCheng/SegFlow>

[Home](https://repo.masters-masters.com/en) › [JingchunCheng](https://repo.masters-masters.com/en/owners/JingchunCheng) › [SegFlow](https://repo.masters-masters.com/en/repos/JingchunCheng/SegFlow)

JingchunCheng/SegFlow has 188 stars on GitHub. Its RepoMasters card: Prototype tier. Demo code of the paper "SegFlow: Joint Learning for Video Object…

| Field | Value |
| --- | --- |
| Owner | [JingchunCheng](https://repo.masters-masters.com/en/owners/JingchunCheng) |
| Stars | 188 |
| Forks | 41 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JingchunCheng/SegFlow](https://github.com/JingchunCheng/SegFlow) |

## Repository

Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.