Deep Learning for Logo Detection: A Survey

no code implementations • 10 Oct 2022 • Sujuan Hou, Jiacheng Li, Weiqing Min, Qiang Hou, Yanna Zhao, Yuanjie Zheng, Shuqiang Jiang

When logos are increasingly created, logo detection has gradually become a research hotspot across many domains and tasks.

Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection

1 code implementation • 31 Aug 2021 • Baisong Zhang, Weiqing Min, Jing Wang, Sujuan Hou, Qiang Hou, Yuanjie Zheng, Shuqiang Jiang

Unlike general object detection, logo detection is a challenging task, especially for small logo objects and large aspect ratio logo objects in the real-world scenario.

Management object-detection +1

FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network

1 code implementation • 10 Aug 2021 • Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang

For that, we propose a novel food logo detection method Multi-scale Feature Decoupling Network (MFDNet), which decouples classification and regression into two branches and focuses on the classification branch to solve the problem of distinguishing multiple food logo categories.

Food recommendation