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GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
Image saliency detection is crucial in understanding human gaze patterns from visual stimuli.
Blind Video Quality Assessment at the Edge
The usage of deep-learning-based methods is restricted to be applied at the edge due to their large model sizes and high computational complexity.
Lightweight High-Performance Blind Image Quality Assessment
Blind image quality assessment (BIQA) is a task that predicts the perceptual quality of an image without its reference.
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ)
The fundamental idea of image coding is to remove correlations among pixels before quantization and entropy coding, e. g., the discrete cosine transform (DCT) and intra predictions, adopted by modern image coding standards.
GreenBIQA: A Lightweight Blind Image Quality Assessment Method
Deep neural networks (DNNs) achieve great success in blind image quality assessment (BIQA) with large pre-trained models in recent years.
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