Two open-source projects for image aesthetic quality assessment
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DOI: 10.1007/s11432-018-9692-2
Abstract: Here we introduce two open-source projects for image aesthetic quality assessment. The first one is ILGnet, an open-source project for the aesthetic evaluation of images based on the convolution neural network. The second is CJS-CNN,… read more here.
Keywords: aesthetic quality; image; convolution neural; image aesthetic ... See more keywords
Semantic-aware multi-task learning for image aesthetic quality assessment
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DOI: 10.1080/09540091.2022.2147902
Abstract: In recent years, image aesthetic quality assessment has attracted considerable attention due to the massive growth of digital images in social platforms and the Internet. However, automatically assessing aesthetic quality of an image is a… read more here.
Keywords: image aesthetic; aesthetic quality; task; quality assessment ... See more keywords
Image Aesthetic Assessment: A Comparative Study of Hand-Crafted & Deep Learning Models
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DOI: 10.1109/access.2022.3209196
Abstract: Automatic image aesthetics assessment is a computer vision problem dealing with categorizing images into different aesthetic levels. The categorization is usually done by analyzing an input image and computing some measure of the degree to… read more here.
Keywords: image aesthetic; assessment; hand crafted; deep learning ... See more keywords
Pseudo-Labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
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DOI: 10.1109/tits.2022.3207152
Abstract: In the tasks of image aesthetic quality assessment, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets. To reduce the error in… read more here.
Keywords: quality assessment; image aesthetic; aesthetic quality; meta reweighting ... See more keywords