zwx8981 / DBCNN-PyTorch

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

Date Created 2019-01-21 (5 years ago)

Commits 45 (last one 2 years ago)

Stargazers 215 (0 this week)

Watchers 5 (0 this week)

Forks 32

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RepositoryStats indexes 579,555 repositories, of these zwx8981/DBCNN-PyTorch is ranked #168,708 (71st percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,703/115,123.

zwx8981/DBCNN-PyTorch is also tagged with popular topics, for these it's ranked: python (#8,090/21870), deep-learning (#3,375/8344), pytorch (#2,339/5914), deep-neural-networks (#275/623), convolutional-neural-networks (#203/536)

Other Information

zwx8981/DBCNN-PyTorch has Github issues enabled, there are 3 open issues and 31 closed issues.

All Topics

iqa biqa python pytorch deep-learning bilinear-pooling deep-neural-networks image-quality-assessment convolutional-neural-networks

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1 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-11-05 @ 11:32am, id: 166771453 / R_kgDOCfC6_Q