Work

2nd Place Solution to Google Universal Image Embedding

Year: 2022

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2210.08735

Authors: Huang, Xiaolong, Li, Qiankun

Institutions: Chongqing University of Technology, University of Science and Technology of China, Chinese Academy of Sciences, Institute of Intelligent Machines

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4306801764

Cites:

Cited by: 2

Related to: 10