# gist-ailab/uoais

<https://repo.masters-masters.com/en/repos/gist-ailab/uoais>

[Home](https://repo.masters-masters.com/en) › [gist-ailab](https://repo.masters-masters.com/en/owners/gist-ailab) › [uoais](https://repo.masters-masters.com/en/repos/gist-ailab/uoais)

gist-ailab/uoais has 158 stars on GitHub. Its RepoMasters card: Prototype tier. Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical…

| Field | Value |
| --- | --- |
| Owner | [gist-ailab](https://repo.masters-masters.com/en/owners/gist-ailab) |
| Stars | 158 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | deep-learning, pytorch, segmentation, instance-segmentation, synthetic-data, robot-vision, unseen-object |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gist-ailab/uoais](https://github.com/gist-ailab/uoais) |

## Repository

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

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.
