Near duplicate image pairs detection using double-channel convolutional neural networks

Yi Zhang, Yanning Zhang, Jinqiu Sun, Haisen Li, Yu Zhu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Measuring the image pair similarity is a fundamental task in computer vision. This paper illustrates a neural network model to accomplish the task and decide if the input pair is a near duplicate pair. Authors explore several convolutional neural networks and adopt the double-channel network on this task. The model achieves comparable results on benchmark datasets and well performs on the closely similar images pairs among them. Comparing with the conventional approaches, the network provides a straightforward function to measure the pair-wise similarity and utilizes the strong correlation meanwhile.

源语言英语
主期刊名Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017
出版商Institute of Electrical and Electronics Engineers Inc.
219-222
页数4
ISBN(电子版)9781538626368
DOI
出版状态已出版 - 2 7月 2017
活动7th International Conference on Virtual Reality and Visualization, ICVRV 2017 - Zhengzhou, 中国
期限: 21 10月 201722 10月 2017

出版系列

姓名Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017

会议

会议7th International Conference on Virtual Reality and Visualization, ICVRV 2017
国家/地区中国
Zhengzhou
时期21/10/1722/10/17

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