# hui-po-wang/DISE-Domain-Invariant-Structure-Extraction

<https://repo.masters-masters.com/en/repos/hui-po-wang/DISE-Domain-Invariant-Structure-Extraction>

[Home](https://repo.masters-masters.com/en) › [hui-po-wang](https://repo.masters-masters.com/en/owners/hui-po-wang) › [DISE-Domain-Invariant-Structure-Extraction](https://repo.masters-masters.com/en/repos/hui-po-wang/DISE-Domain-Invariant-Structure-Extraction)

hui-po-wang/DISE-Domain-Invariant-Structure-Extraction has 144 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch Implementation -- All about…

| Field | Value |
| --- | --- |
| Owner | [hui-po-wang](https://repo.masters-masters.com/en/owners/hui-po-wang) |
| Stars | 144 |
| Forks | 23 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | domain-adaptation, semantic-segmentation, computer-vision, deep-learning, cvpr2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hui-po-wang/DISE-Domain-Invariant-Structure-Extraction](https://github.com/hui-po-wang/DISE-Domain-Invariant-Structure-Extraction) |

## Repository

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

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.
