FGSVQA combines CLIP visual encoding with frequency priors and adaptive branch fusion to predict short-form video quality, reporting SRCC 0.736 and PLCC 0.787 on relevant datasets.
Capturing co- existing distortions in user-generated content for no-reference video quality assessment,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FGSVQA: Frequency-Guided Short-form Video Quality Assessment
FGSVQA combines CLIP visual encoding with frequency priors and adaptive branch fusion to predict short-form video quality, reporting SRCC 0.736 and PLCC 0.787 on relevant datasets.