VQAssessment/ExplainableVQA

ExplainableVQA/demo_maxvqa.py

cyy-1234 opened this issue · 0 comments

Hi, contributor,
I recently read the article Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach. Please let me know. I tried a video of my own, and the score felt like it was between 0-100. The values ​​in the paper then correspond to the paper's "Figure 4: Qualitative studies on different specific factors, with a good video (>0.6) and a bad video (<-0.6) in each dimension of Maxwell; [A-5] Trajectory, [ T-5]Flicker, and [T-8] Fluency are focusing on temporal variations and example videos for them are appended in supplementary package. Zoom in for details.", in my example what counts as good and what counts as bad Yes, looking forward to your reply

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