48 citations · 92 across the 8 of their papers we have counts for
9 papers
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…
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…
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…
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,…
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection
Jianbo Liu, Sijie Ren, Yuanjie Zheng +2
Both high-level and high-resolution feature representations are of great importance in various visual understanding tasks. To acquire high-resolution feature maps with high-level s…
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Rui Huang, Yuanjie Zheng, Zhiqiang Hu +2
Multi-organ segmentation has extensive applications in many clinical applications. To segment multiple organs of interest, it is generally quite difficult to collect full annotatio…