2nd Place Solution to Google Landmark Retrieval 2021

2021-10-08 · Zhang Yuqi, Xu Xianzhe, Chen Weihua, Wang Yaohua, Zhang Fangyi, Wang Fan, Li Hao

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

📄 PDF Abstract BibTeX arXiv:2110.04294

Code (1)

wesleyzhang1991/google_landmark_retrieval_2021_2nd_place_solution 공식 구현 pytorch

Tasks

Image Retrieval Person Re-IdentificationRerankingRetrieval

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