Distilling Knowledge From Object Classification to Aesthetics Assessment

Author:

Hou Jingwen1ORCID,Ding Henghui2ORCID,Lin Weisi1ORCID,Liu Weide1ORCID,Fang Yuming3ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

2. ByteDance AI Laboratory, 1 Raffles Quay, Singapore

3. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China

Funder

Ministry of Education, Singapore

ByteDance AI Laboratory, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Blind image quality index with high-level Semantic Guidance and low-level fine-grained Representation;Neurocomputing;2024-10

2. Keep Knowledge in Perception: Zero-Shot Image Aesthetic Assessment;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. An interpretable metric of visual aesthetics for GUI design;Behaviour & Information Technology;2024-02-29

4. Hybrid CNN-transformer based meta-learning approach for personalized image aesthetics assessment;Journal of Visual Communication and Image Representation;2024-02

5. Coarse-to-Fine Image Aesthetics Assessment With Dynamic Attribute Selection;IEEE Transactions on Multimedia;2024

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