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This paper presents the 3rd place solution to the Google Universal ImageEmbedding Competition on Kaggle. We use ViT-H/14 from OpenCLIP for the backboneof ArcFace, and trained in 2 stage. 1st stage is done with freezed backbone,and 2nd stage is whole model training. We achieve 0.692 mean Precision @5 onprivate leaderboard. Code available athttps://github.com/YasumasaNamba/google-universal-image-embedding

3rd Place Solution for Google Universal Image Embedding