activity
20192023
most citedFoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network

28 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

A Cross-direction Task Decoupling Network for Small Logo Detection

Hou, Sujuan, Li +10

Logo detection plays an integral role in many applications. However, handling small logos is still difficult since they occupy too few pixels in the image, which burdens the extrac…

cs.CV2022★ 1 cited

Deep Learning for Logo Detection: A Survey

Sujuan Hou, Jiacheng Li, Weiqing Min +4

When logos are increasingly created, logo detection has gradually become a research hotspot across many domains and tasks. Recent advances in this area are dominated by deep learni…

cs.CV2021★ 28 cited

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

Qiang Hou, Weiqing Min, Jing Wang +3

Food logo detection plays an important role in the multimedia for its wide real-world applications, such as food recommendation of the self-service shop and infringement detection…

cs.CV2021★ 1 cited

Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection

Baisong Zhang, Weiqing Min, Jing Wang +4

Recently, logo detection has received more and more attention for its wide applications in the multimedia field, such as intellectual property protection, product brand management,…

cs.CV2020★ 9 cited

LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

Jing Wang, Weiqing Min, Sujuan Hou +3

Logo detection has been gaining considerable attention because of its wide range of applications in the multimedia field, such as copyright infringement detection, brand visibility…

cs.CV2019★ 3 cited

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

Jing Wang, Weiqing Min, Sujuan Hou +4

Logo classification has gained increasing attention for its various applications, such as copyright infringement detection, product recommendation and contextual advertising. Compa…