# Xiaoqi-Zhao-DLUT/MMFT

<https://repo.masters-masters.com/en/repos/Xiaoqi-Zhao-DLUT/MMFT>

[Home](https://repo.masters-masters.com/en) › [Xiaoqi-Zhao-DLUT](https://repo.masters-masters.com/en/owners/Xiaoqi-Zhao-DLUT) › [MMFT](https://repo.masters-masters.com/en/repos/Xiaoqi-Zhao-DLUT/MMFT)

Xiaoqi-Zhao-DLUT/MMFT has 111 stars on GitHub. Its RepoMasters card: Prototype tier. (TIP 2022) Joint Learning of Salient Object Detection, Depth Estimation…

| Field | Value |
| --- | --- |
| Owner | [Xiaoqi-Zhao-DLUT](https://repo.masters-masters.com/en/owners/Xiaoqi-Zhao-DLUT) |
| Stars | 111 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Xiaoqi-Zhao-DLUT/MMFT](https://github.com/Xiaoqi-Zhao-DLUT/MMFT) |

## Repository

(TIP 2022) Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction

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.