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AESTHETIC - Astrophysics Data System

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Last Updated: 10 June 2022

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Distilling Knowledge from Object Classification to Aesthetics Assessment

"We emphasize in this work that the key component of image aesthetics assessment is the abstract nature of aesthetic labels. " On the other hand, when learning, it would be impossible for the IAA model to recognize different content simply by visual markings, because aesthetic labels are not specifically related to any specific content. Expecting that the combination of many POC models would yield sufficient detail on various image elements, the IAA model would be able to relate various unique content to a limited number of stylistic labels. The IAA model's results are substantially improved by 4. 8 percent in SRCC compared to the version that only had ground-truth aesthetic labels, thanks to the one that was only equipped with ground-truth aesthetic labels. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220600809H/abstract


Repurposing existing deep networks for caption and aesthetic-guided image cropping

"Unlike traditional image cropping methods, in which one usually trains a deep network to regress to crop heights or cropping actions, we recommend directly optimizing for the cropping parameters by repurposing pre-trained networks on image captioning and styling tasks, avoiding the need for a separate network or network. " We suggest three methods for making the optimization stable: multi-scale bilinear sampling, annealing the crop region's size, thereby effectively reducing the parameter space and aggregation of multiple optimization results. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022PatRe.12608485H/abstract


Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes

"Breatments for breast cancer have continued to expand and improve in recent years, resulting in a dramatic rise in survival rates, with nearly 80% of patients experiencing a 10-year survival interval. " Given the critical effects breast cancer therapy treatments can have on a patient's body appearance, negatively impacting her self-confidence and intimate relationships, it is imperative that women receive the therapy that optimizes both physical and aesthetic outcomes. There is currently no gold standard for assessing breast cancer treatment's aesthetic results. This deep neural network can also be used to find the most similar past cases by searching for nearest neighbors in the densely semantic space before classification, in addition to its use for classification. The results for both precision and balanced accuracy of our proposed model were shown to be the best in aesthetic evaluation of breast cancer therapies" in the state of the art.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220512611S/abstract


Compression ensembles quantify aesthetic complexity and the evolution of visual art

"The quantification of visual appearances and complexity has a long history, with the former being traditionally implemented by the application of compression algorithms. " Generalize and extend the compression scheme here to quantitative metrics of algorithmic distance in historical and contemporary visual media. Our approach is fully explainable through the transformations, unlike comparable image embedding techniques using machine learning. Both on the scale of centuries and in rapidly evolving contemporary NFT art markets, we show how the approach can be used to reveal and quantify trends in art historical data. Artists that are not explicitly embedded in Zeitgeist are deemedance to disambiguate artists outside of the accepted mainstream in a more concrete way. We conclude that compression ensembles are a quantitative representation of the concept of visual family resemblance, as distinct sets of dimensions correspond to common physical characteristics that are otherwise impossible to grasp.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220510271K/abstract


Vocal aesthetics—Theoretical and methodological considerations

"Research on the influence of human voice on perceived attractiveness and other attributes has a long history in psychology, aesthetics, and neuro-cognitive science. " We'll be focusing on the most common voice research in psychology at the University of Then. Hundreds of studies have examined the human voice to find what vocal characteristics reveal about the speakers and how they influence social opinion. In our research, we investigated the effect of voice recognition in playback experiments because of the duration and verbal content of voice recordings.

Source link: https://ui.adsabs.harvard.edu/abs/2022ASAJ..151A.132S/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions