3rd Place Solution to Google Landmark Recognition Competition 2021

Autor:	Xu, Cheng, Wang, Weimin, Liu, Shuai, Wang, Yong, Tang, Yuxiang, Bian, Tianling, Yan, Yanyu, She, Qi, Yang, Cheng
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: Corrected typos
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.02794 Zobrazit plný text záznamu View this record from Arxiv