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Jun, 2020
大规模图像定位的自监督细粒度区域相似性
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization
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Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li
TL;DR
通过自监督学习图像的区域相似性,实现了对具有潜在难度的正面图像及其子区域的充分探索,并且在训练和推理中没有额外的参数或手动注释,能够有效地处理当前现有管道中的训练瓶颈
Abstract
The task of
large-scale retrieval
-based
image localization
is to estimate the geographical location of a query image by recognizing its nearest reference images from a city-scale dataset. However, the general pub
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