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2nd Place Solution to Google Landmark Retrieval 2021
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
2021: Zhang Yuqi, Xu Xianzhe, Chen Weihua, W. Yaohua, Zhang Fangyi, Wang Fan, Li Hao
2nd place solution to the Google Landmark Retrieval 2021 Competition on Kaggle
https://arxiv.org/pdf/2110.04294v1.pdf
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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
2021: Zhang Yuqi, Xu Xianzhe, Chen Weihua, W. Yaohua, Zhang Fangyi, Wang Fan, Li Hao
2nd place solution to the Google Landmark Retrieval 2021 Competition on Kaggle
https://arxiv.org/pdf/2110.04294v1.pdf