VQAssessment / ExplainableVQA

[ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"

Date Created 2022-11-26 (about a year ago)

Commits 21 (last one 3 months ago)

Stargazers 68 (0 this week)

Watchers 2 (0 this week)

Forks 6

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RepositoryStats indexes 584,777 repositories, of these VQAssessment/ExplainableVQA is ranked #376,992 (36th percentile) for total stargazers, and #478,954 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #71,223/116,437.

VQAssessment/ExplainableVQA is also tagged with popular topics, for these it's ranked: explainable-ai (#103/169)

Other Information

VQAssessment/ExplainableVQA has Github issues enabled, there are 6 open issues and 5 closed issues.

All Topics

maxwell explainable-ai endeavor-project aesthetic-quality technical-quality video-quality-assessment blind-video-quality-assessment

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

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The only known language in this repository is Python

updated: 2024-11-14 @ 06:27pm, id: 570926551 / R_kgDOIgel1w