论文标题
Google通用图像嵌入的第二名解决方案
2nd Place Solution to Google Universal Image Embedding
论文作者
论文摘要
图像表示是计算机视觉应用程序的关键构建块。本文介绍了Google通用图像嵌入竞赛的第二名解决方案，该竞赛是ECCV2022实例级识别研讨会的一部分。我们使用实例级的细颗粒图像分类方法来完成这项竞赛。我们专注于数据构建和处理，模型结构和培训策略。最后，该解决方案在公共排行榜上得分为0.713，在私人排行榜上得分为0.709。
Image representations are a critical building block of computer vision applications. This paper presents the 2nd place solution to the Google Universal Image Embedding Competition, which is part of the ECCV2022 instance-level recognition workshops. We use the instance-level fine-grained image classification method to complete this competition. We focus on data building and processing, model structure, and training strategies. Finally, the solution scored 0.713 on the public leaderboard and 0.709 on the private leaderboard.
