AIMC Topic: Art

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Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network.

PloS one Mar 20, 2025
This study aims to explore a data-driven cultural background fusion method to improve the accuracy of environmental art image classification. A novel Dual Kernel Squeeze and Excitation Network (DKSE-Net) model is proposed for the complex cultural bac...
Image Processing, Computer-Assisted Art Neural Networks, Computer Algorithms Humans
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Beyond human perception: challenges in AI interpretability of orangutan artwork.

Primates; journal of primatology Feb 24, 2025
Drawings serve as a profound medium of expression for both humans and apes, offering unique insights into the cognitive and emotional landscapes of the artists, regardless of their species. This study employs artificial intelligence (AI), specificall...
Artificial Intelligence Female Animals Humans Neural Networks, Computer Art Pongo Pongo pygmaeus Male Cognition
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Advertising or adversarial? AdvSign: Artistic advertising sign camouflage for target physical attacking to object detector.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Deep learning models are often vulnerable to adversarial attacks in both digital and physical environments. Particularly challenging are physical attacks that involve subtle, unobtrusive modifications to objects, such as patch-sticking or light-shoot...
Humans Advertising Deep Learning Art
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AI contextual information shapes moral and aesthetic judgments of AI-generated visual art.

Cognition Jan 16, 2025
Throughout history, art creation has been regarded as a uniquely human means to express original ideas, emotions, and experiences. However, as Generative Artificial Intelligence reshapes visual, aesthetic, legal, and economic culture, critical questi...
Humans Young Adult Adult Male Artificial Intelligence Female Art Judgment Bayes Theorem Visual Perception Morals Esthetics
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Utilization of Artificial Intelligence for the automated recognition of fine arts.

PloS one Nov 25, 2024
Fine art recognition, traditionally dependent on human expertise, is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and deep learning. This article introduces a novel AI-based approach for fine art recogn...
Pattern Recognition, Automated Art Algorithms Deep Learning Neural Networks, Computer Humans Artificial Intelligence
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How deep is your art: An experimental study on the limits of artistic understanding in a single-task, single-modality neural network.

PloS one Nov 6, 2024
Computational modeling of artwork meaning is complex and difficult. This is because art interpretation is multidimensional and highly subjective. This paper experimentally investigated the degree to which a state-of-the-art Deep Convolutional Neural ...
Humans Deep Learning Neural Networks, Computer Art Machine Learning
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Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes.

PloS one Sep 6, 2024
Art research has long aimed to unravel the complex associations between specific attributes, such as color, complexity, and emotional expressiveness, and art judgments, including beauty, creativity, and liking. However, the fundamental distinction be...
Emotions Judgment Creativity Art Visual Perception Young Adult Adult Male Machine Learning Humans Female
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Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers.

Scientific reports Jul 10, 2024
In empirical art research, understanding how viewers judge visual artworks as beautiful is often explored through the study of attributes-specific inherent characteristics or artwork features such as color, complexity, and emotional expressiveness. T...
Germany Esthetics Beauty Art Adult Male Emotions Japan Cross-Cultural Comparison Humans Female Young Adult Machine Learning
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Development of the digital retrieval system integrating intelligent information and improved genetic algorithm: A study based on art museums.

PloS one Jun 25, 2024
This study aims to develop a digital retrieval system for art museums to solve the problems of inaccurate information and low retrieval efficiency in the digital management of cultural heritage. By introducing an improved Genetic Algorithm (GA), digi...
Art Algorithms Information Storage and Retrieval Humans Museums Neural Networks, Computer
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AuDrA: An automated drawing assessment platform for evaluating creativity.

Behavior research methods Nov 2, 2023
The visual modality is central to both reception and expression of human creativity. Creativity assessment paradigms, such as structured drawing tasks Barbot (2018), seek to characterize this key modality of creative ideation. However, visual creativ...
Creativity Art Female Adult Humans Male Machine Learning
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