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PyRetri

swMATH ID: 32887
Software Authors: Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu
Description: PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks. Despite significant progress of applying deep learning methods to the field of content-based image retrieval, there has not been a software library that covers these methods in a unified manner. In order to fill this gap, we introduce PyRetri, an open source library for deep learning based unsupervised image retrieval. The library encapsulates the retrieval process in several stages and provides functionality that covers various prominent methods for each stage. The idea underlying its design is to provide a unified platform for deep learning based image retrieval research, with high usability and extensibility. To the best of our knowledge, this is the first open-source library for unsupervised image retrieval by deep learning.
Homepage: https://arxiv.org/abs/2005.02154
Source Code:  https://github.com/PyRetri/PyRetri
Dependencies: PyTorch
Keywords: Information Retrieval; arXiv_cs.IR; Computer Vision; Pattern Recognition; arXiv_cs.CV; Machine Learning; arXiv_cs.LG; Multimedia; arXiv_cs.MM; PyTorch
Related Software: YACS; Person_reID_baseline_pytorch; Caltech-UCSD Birds; vitrivr; PyTorch
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
Benyi Hu, Ren-Jie Song, Xiu-Shen Wei, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu
2020