# zwx8981/DBCNN-PyTorch

<https://repo.masters-masters.com/en/repos/zwx8981/DBCNN-PyTorch>

[Home](https://repo.masters-masters.com/en) › [zwx8981](https://repo.masters-masters.com/en/owners/zwx8981) › [DBCNN-PyTorch](https://repo.masters-masters.com/en/repos/zwx8981/DBCNN-PyTorch)

zwx8981/DBCNN-PyTorch has 231 stars on GitHub. Its RepoMasters card: Prototype tier. An experimental Pytorch implementation of Blind Image Quality Assessment…

| Field | Value |
| --- | --- |
| Owner | [zwx8981](https://repo.masters-masters.com/en/owners/zwx8981) |
| Stars | 231 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | image-quality-assessment, pytorch, bilinear-pooling, deep-learning, biqa, iqa, convolutional-neural-networks, deep-neural-networks, python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zwx8981/DBCNN-PyTorch](https://github.com/zwx8981/DBCNN-PyTorch) |

## Repository

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

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.