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arXiv · 2110.02794

3rd Place Solution to Google Landmark Recognition Competition 2021

Cheng Xu·Weimin Wang·Shuai Liu·Yong Wang·Yuxiang Tang·Tianling Bian·Yanyu Yan·Qi She·Cheng Yang
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Abstract

In this paper, we show our solution to the Google Landmark Recognition 2021 Competition. Firstly, embeddings of images are extracted via various architectures (i.e. CNN-, Transformer- and hybrid-based), which are optimized by ArcFace loss. Then we apply an efficient pipeline to re-rank predictions by adjusting the retrieval score with classification logits and non-landmark distractors. Finally, the ensembled model scores 0.489 on the private leaderboard, achieving the 3rd place in the 2021 edition of the Google Landmark Recognition Competition.

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Cheng Xu, Weimin Wang, Shuai Liu, Yong Wang, Yuxiang Tang, Tianling Bian, Yanyu Yan, Qi She, Cheng Yang. 2021-10-06. 3rd Place Solution to Google Landmark Recognition Competition 2021. https://arxiv.org/abs/2110.02794

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