Assessing Image Retrieval Quality at the First Glance

Author:

Sun Shaoyan,Zhou WengangORCID,Tian Qi,Yang Ming,Li HouqiangORCID

Funder

973 Program

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Young Elite Scientists Sponsorship Program by the CAST

Youth Innovation Promotion Association CAS

Army Research Office

Faculty Research Gift Awards by NEC Laboratories of America and Blippar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 8 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. iQPP: A Benchmark for Image Query Performance Prediction;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

2. Query-Adaptive Feature Fusion Base on Convolutional Neural Networks for Remote Sensing Image Retrieval;2021 International Conference on Digital Society and Intelligent Systems (DSInS);2021-12-03

3. Content-based Remote Sensing Image Retrieval Based on Ant Colony Optimization and Convolutional Neural Networks;2021 14th International Symposium on Computational Intelligence and Design (ISCID);2021-12

4. CNN-DBN: Quality Assessment and Optimization of Content-Based Image Retrieval Services;2021 IEEE 12th International Conference on Software Engineering and Service Science (ICSESS);2021-08-20

5. Deep Multi-Scale Features Learning for Distorted Image Quality Assessment;2021 IEEE International Symposium on Circuits and Systems (ISCAS);2021-05

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