3rd Place Solution to "Google Landmark Retrieval 2020"

Code

• github.com/Raykoooo/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020
  pytorch★ 21

Abstract

Image retrieval is a fundamental problem in computer vision. This paper presents our 3rd place detailed solution to the Google Landmark Retrieval 2020 challenge. We focus on the exploration of data cleaning and models with metric learning. We use a data cleaning strategy based on embedding clustering. Besides, we employ a data augmentation method called Corner-Cutmix, which improves the model's ability to recognize multi-scale and occluded landmark images. We show in detail the ablation experiments and results of our method.

Tasks

Reproductions