160 citations · 275 across the 8 of their papers we have counts for
15 papers
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…
Hierarchical Object-to-Zone Graph for Object Navigation
Sixian Zhang, Xinhang Song, Yubing Bai +3
The goal of object navigation is to reach the expected objects according to visual information in the unseen environments. Previous works usually implement deep models to train an…
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…
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Weiqing Min, Linhu Liu, Zhiling Wang +4
Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A l…
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…
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang, Yaohui Zhu, Chenlong Liu +3
The goal of few-shot image recognition (FSIR) is to identify novel categories with a small number of annotated samples by exploiting transferable knowledge from training data (base…