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