# MingXiangL/AttentionShift

<https://repo.masters-masters.com/en/repos/MingXiangL/AttentionShift>

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

MingXiangL/AttentionShift has 155 stars on GitHub. Its RepoMasters card: Prototype tier. Official Implementation of AttentionShift: Iteratively Estimated…

| Field | Value |
| --- | --- |
| Owner | [MingXiangL](https://repo.masters-masters.com/en/owners/MingXiangL) |
| Stars | 155 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [MingXiangL/AttentionShift](https://github.com/MingXiangL/AttentionShift) |

## Repository

Official Implementation of AttentionShift: Iteratively Estimated Part-based Attention Map for Pointly Supervised Instance Segmentation

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.