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Datasets play a pivotal role in training visual models, facilitating the development of abstract understandings of visual features through diverse image samples and multidimensional attributes.
Wiki art gallery, inc.: A case for critical thinking
Fred Phillips and Brandy Mackintosh · 2011
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In the eye of the beholder: employing statistical analysis and eye tracking for analyzing abstract paintings
Victoria Yanulevskaya, Jasper Uijlings, Elia Bruni, Andreza Sartori, Elisa Zamboni, Francesca Bacci, David Melcher, and Nicu Sebe · 2012
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
Bryan A Plummer, Liwei Wang, Chris M Cervantes, Juan C Caicedo, Julia Hockenmaier, and Svetlana Lazebnik · 2015
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Jenaesthetics subjective dataset: analyzing paintings by subjective scores
Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, and Christoph Redies · 2015
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Color: A crucial factor for aesthetic quality assessment in a subjective dataset of paintings
Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, and Christoph Redies · 2016
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Development trends of image aesthetic quality evaluation techniques
Xin Jin, Bin Zhou, Dongqing Zou, Xiaodong Li, Hongbo Sun, and Le Wu · 2018
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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The vienna art picture system (vaps): A data set of 999 paintings and subjective ratings for art and aesthetics research
Anna Fekete, Matthew Pelowski, Eva Specker, David Brieber, Raphael Rosenberg, and Helmut Leder · 2022
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Aesclip: Multi-attribute contrastive learning for image aesthetics assessment
Xiangfei Sheng, Leida Li, Pengfei Chen, Jinjian Wu, Weisheng Dong, Yuzhe Yang, Liwu Xu, Yaqian Li, and Guangming Shi · 2023
Towards artistic image aesthetics assessment: a large-scale dataset and a new method
Ran Yi, Haoyuan Tian, Zhihao Gu, Yu-Kun Lai, and Paul L Rosin · 2023
Later among the works it cites.
Aesthetically relevant image captioning
Zhipeng Zhong, Fei Zhou, and Guoping Qiu · 2023
Later among the works it cites.
Paintings and drawings aesthetics assessment with rich attributes for various artistic categories
Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Shan Gao, Heng Huang, and Guangdong Li · 2024
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Aacp: Aesthetics assessment of children’s paintings based on self-supervised learning
Shiqi Jiang, Ning Li, Chen Shi, Liping Guo, Changbo Wang, and Chenhui Li · 2024
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Cited alongside, same era.