Learning Local Similarity with Spatial Relations for Object Retrieval
Author:
Affiliation:
1. The University of Hong Kong, Hong Kong, Hong Kong
2. SenseTime Research, Hong Kong, Hong Kong
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3343031.3351005
Reference48 articles.
1. R. Arandjelović P. Gronat A. Torii T. Pajdla and J. Sivic. 2016. NetVLAD: CNN architecture for weakly supervised place recognition. In CVPR . R. Arandjelović P. Gronat A. Torii T. Pajdla and J. Sivic. 2016. NetVLAD: CNN architecture for weakly supervised place recognition. In CVPR .
2. Relja Arandjelovic and Andrew Zisserman. 2013. All About VLAD. In CVPR. 1578--1585. Relja Arandjelovic and Andrew Zisserman. 2013. All About VLAD. In CVPR. 1578--1585.
3. Yannis Avrithis and Yannis Kalantidis. 2012. Approximate gaussian mixtures for large scale vocabularies. In ECCV. 15--28. Yannis Avrithis and Yannis Kalantidis. 2012. Approximate gaussian mixtures for large scale vocabularies. In ECCV. 15--28.
4. Artem Babenko Anton Slesarev Alexandr Chigorin and Victor Lempitsky. 2014. Neural codes for image retrieval. In ECCV. 584--599. Artem Babenko Anton Slesarev Alexandr Chigorin and Victor Lempitsky. 2014. Neural codes for image retrieval. In ECCV. 584--599.
5. Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval
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