VALSE 论文速览 第153期：Large Scale Visual Food Recognition

论文题目：

Large Scale Visual Food Recognition

作者列表：

闵巍庆 (中国科学院计算技术研究所) 、王致岭 (中国科学院计算技术研究所) 、刘宇昕 (中国科学院计算技术研究所) 、罗梦江 (中国科学院计算技术研究所) 、康丽萍 (美团) 、魏晓明 (美团) 、魏晓林 (美团) 、蒋树强 (中国科学院计算技术研究所)

B站观看网址：

https://www.bilibili.com/video/BV1o64y17749/

论文摘要：

Food recognition plays an important role in food choice and intake, which is essential to the health and well-being of humans. In this paper, we introduce Food2K, which is the largest food recognition dataset with 2,000 categories and over 1 million images. Compared with existing food recognition datasets. Furthermore, we propose a deep progressive region enhancement network for food recognition, which mainly consists of two components, namely progressive local feature learning and region feature enhancement. Extensive experiments on Food2K demonstrate the effectiveness of our proposed method. More importantly, we have verified better generalization ability of Food2K in various tasks.

视频讲者简介：

Yuxin Liu received the BE degree from the School of Computer Science and Technology, Shandong University, Qingdao, China, in 2020. He is currently working toward the PhD degree in computer science with the Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. His research interests include computer vision, machine learning and fine-grained multi-label image recognition.

特别鸣谢本次论文速览主要组织者：

月度轮值AC：舒祥波 (南京理工)

季度轮值AC：张磊 (重庆大学)