@inproceedings{50896cf80d984e1f97ccad9556444060,
title = "Near duplicate image pairs detection using double-channel convolutional neural networks",
abstract = "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.",
keywords = "CNN, Jointly Processing, Similarity Function",
author = "Yi Zhang and Yanning Zhang and Jinqiu Sun and Haisen Li and Yu Zhu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th International Conference on Virtual Reality and Visualization, ICVRV 2017 ; Conference date: 21-10-2017 Through 22-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICVRV.2017.00052",
language = "英语",
series = "Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "219--222",
booktitle = "Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017",
}