Predict Inter-photo Visual Similarity via Pre-trained Computer Vision Models

Author:

Omori Hiroshi1ORCID,Hanyu Kazunori2ORCID

Affiliation:

1. Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan

2. Nihon University, Japan

Publisher

ACM

Reference35 articles.

1. Srikar Appalaraju and Vineet Chaoji . 2017. Image similarity using Deep CNN and Curriculum Learning. arXiv:1709.08761 ( 2017 ). Srikar Appalaraju and Vineet Chaoji. 2017. Image similarity using Deep CNN and Curriculum Learning. arXiv:1709.08761 (2017).

2. Liang-Chieh Chen , George Papandreou , Florian Schroff , and Hartwig Adam . 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. arXiv:1706.05587 ( 2017 ). Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam. 2017. Rethinking Atrous Convolution for Semantic Image Segmentation. arXiv:1706.05587 (2017).

3. Francois Chollet . 2017 . Xception: Deep learning with depthwise separable convolutions. arXiv:1610.02357v3 (2017), 1–8. Francois Chollet. 2017. Xception: Deep learning with depthwise separable convolutions. arXiv:1610.02357v3 (2017), 1–8.

4. ImageNet: A large-scale hierarchical image database

5. Alexey Dosovitskiy , Lucas Beyer , Alexander Kolesnikov , Dirk Weissenborn , Xiaohua Zhai , Thomas Unterthiner , Mostafa Dehghani , Matthias Minderer , Georg Heigold , Sylvain Gelly , Jakob Uszkoreit , and Neil Houlsby . [n. d.]. vit-keras. Retrieved February 28, 2022 from https://github.com/faustomorales/vit-keras Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. [n. d.]. vit-keras. Retrieved February 28, 2022 from https://github.com/faustomorales/vit-keras

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1. What is the Difference between Image Cognition in Humans and Computer Vision?;Transactions of Japan Society of Kansei Engineering;2023

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