Perceptual Image Quality Prediction: Are Contrastive Language–Image Pretraining (CLIP) Visual Features Effective?

Perceptual Image Quality Prediction: Are Contrastive Language–Image Pretraining (CLIP) Visual Features Effective?

In recent studies, the Contrastive Language–Image Pretraining (CLIP) model has showcased remarkable versatility in downstream tasks, ranging from image captioning and question-answering reasoning to image–text similarity rating, etc. In this paper, we investigate the effectiveness of CLIP visual fea...

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Bibliographic Details
Main Authors: Chibuike Onuoha, Jean Flaherty, Truong Cong Thang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
LMMs
CLIP
visual features
image quality assessment
distortion features
Online Access:https://www.mdpi.com/2079-9292/13/4/803

Internet

https://www.mdpi.com/2079-9292/13/4/803

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