# bcmi/CaGNet-Zero-Shot-Semantic-Segmentation

<https://repo.masters-masters.com/en/repos/bcmi/CaGNet-Zero-Shot-Semantic-Segmentation>

[Home](https://repo.masters-masters.com/en) › [bcmi](https://repo.masters-masters.com/en/owners/bcmi) › [CaGNet-Zero-Shot-Semantic-Segmentation](https://repo.masters-masters.com/en/repos/bcmi/CaGNet-Zero-Shot-Semantic-Segmentation)

bcmi/CaGNet-Zero-Shot-Semantic-Segmentation has 236 stars on GitHub. Its RepoMasters card: Prototype tier. Code for our ACMMM2020 paper "Context-aware Feature…

| Field | Value |
| --- | --- |
| Owner | [bcmi](https://repo.masters-masters.com/en/owners/bcmi) |
| Stars | 236 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | semantic-segmentation, zero-shot-semantic-segmentation, zero-shot-learning, zero-label-semantic-segmentation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [bcmi/CaGNet-Zero-Shot-Semantic-Segmentation](https://github.com/bcmi/CaGNet-Zero-Shot-Semantic-Segmentation) |

## Repository

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

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

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