This paper presents the 2nd place solution to the Google Landmark Retrieval 2021 Competition on Kaggle. The solution is based on a baseline with training tricks from person re-identification, a continent-aware sampling strategy is presented to select training images according to their country tags and a Landmark-Country aware reranking is proposed for the retrieval task. With these contributions, we achieve 0.52995 mAP@100 on private leaderboard. Code available at https://github.com/WesleyZhang1991/Google_Landmark_Retrieval_2021_2nd_Place_Solution
@article{arxiv.2110.04294,
title = {2nd Place Solution to Google Landmark Retrieval 2021},
author = {Zhang Yuqi and Xu Xianzhe and Chen Weihua and Wang Yaohua and Zhang Fangyi and Wang Fan and Li Hao},
journal= {arXiv preprint arXiv:2110.04294},
year = {2021}
}