论文标题
Google Landmark认可2020竞赛第三名解决方案
Google Landmark Recognition 2020 Competition Third Place Solution
论文作者
论文摘要
我们向Google Landmark识别2020竞赛提出了第三名的解决方案。它是全局功能仅子中心弧形模型的合奏。我们引入了动态边距，以实现座椅损失，这是一个可调节的班级函数的家族，旨在处理GLDV2数据集中的极端不平衡。渐进式填充和仔细的后处理也是解决方案的关键。我们的两项意见在私人排行榜上得分为0.6344和0.6289，在736支球队中排名第三。
We present our third place solution to the Google Landmark Recognition 2020 competition. It is an ensemble of global features only Sub-center ArcFace models. We introduce dynamic margins for ArcFace loss, a family of tune-able margin functions of class size, designed to deal with the extreme imbalance in GLDv2 dataset. Progressive finetuning and careful postprocessing are also key to the solution. Our two submissions scored 0.6344 and 0.6289 on private leaderboard, both ranking third place out of 736 teams.
