Dual-stream complex-valued convolutional network for authentic dehazed image quality assessment
Effectively evaluating the perceptual quality of dehazed images remains an under-explored
research issue. In this paper, we propose a no-reference complex-valued convolutional …
research issue. In this paper, we propose a no-reference complex-valued convolutional …
Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment
The inadequacy of labeled datasets for image quality assessment has led to the
development and popularity of self-supervised approaches. However, most existing self …
development and popularity of self-supervised approaches. However, most existing self …
Neural Image Popularity Assessment with Retrieval-augmented Transformer
Since the advent of social media platforms, image selection based on social preference is a
challenging task that all users inherently undertake before sharing images with the public. In …
challenging task that all users inherently undertake before sharing images with the public. In …
Bilinear Pooling of Transformer Embeddings for Blind Image Quality Assessment
Y Feng - International Congress on Information and …, 2024 - Springer
Blind image quality assessment finds its practical usage in real-world applications where
image distortions are more complex than computer generated synthetic distortions, but high …
image distortions are more complex than computer generated synthetic distortions, but high …