# carrierlxk/AGNN

<https://repo.masters-masters.com/en/repos/carrierlxk/AGNN>

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

carrierlxk/AGNN has 204 stars on GitHub. Its RepoMasters card: Prototype tier. Zero-shot Video Object Segmentation via Attentive Graph Neural Networks…

| Field | Value |
| --- | --- |
| Owner | [carrierlxk](https://repo.masters-masters.com/en/owners/carrierlxk) |
| Stars | 204 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | zero-shot-video-segmentation, graph-neural-network, video-object-segmentation, object-segmentation, unsupervised-video-segmentation, iccv2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [carrierlxk/AGNN](https://github.com/carrierlxk/AGNN) |

## Repository

Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)

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.