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Video Google: A Text Retrieval Approach to Object Matching in Videos . In Proceedings of the International Conference on Computer Vision , Vol. 2 . 1470--1477. http:\/\/www.robots.ox.ac.uk\/ vgg J. Sivic and A. Zisserman. 2003. Video Google: A Text Retrieval Approach to Object Matching in Videos. In Proceedings of the International Conference on Computer Vision , Vol. 2. 1470--1477. http:\/\/www.robots.ox.ac.uk\/ vgg"},{"key":"e_1_3_2_1_24_1","volume-title":"Detect-to-Retrieve: Efficient Regional Aggregation for Image Search . arXiv:1812.01584 [cs] (Dec","author":"Teichmann Marvin","year":"2018","unstructured":"Marvin Teichmann , Andre Araujo , Menglong Zhu , and Jack Sim . 2018. Detect-to-Retrieve: Efficient Regional Aggregation for Image Search . arXiv:1812.01584 [cs] (Dec . 2018 ). http:\/\/arxiv.org\/abs\/1812.01584 arXiv: 1812.01584. Marvin Teichmann, Andre Araujo, Menglong Zhu, and Jack Sim. 2018. Detect-to-Retrieve: Efficient Regional Aggregation for Image Search . arXiv:1812.01584 [cs] (Dec. 2018). http:\/\/arxiv.org\/abs\/1812.01584 arXiv: 1812.01584."},{"key":"e_1_3_2_1_25_1","first-page":"3","article-title":"Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images","volume":"116","author":"Tolias Giorgos","year":"2016","unstructured":"Giorgos Tolias , Yannis Avrithis , and Herv\u00e9 J\u00e9gou . 2016 a. Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images . International Journal of Computer Vision , Vol. 116 , 3 (Feb. 2016), 247--261. https:\/\/doi.org\/10.1007\/s11263-015-0810--4 10.1007\/s11263-015-0810--4 Giorgos Tolias, Yannis Avrithis, and Herv\u00e9 J\u00e9gou. 2016a. Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images . 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