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20182023
most citedScene recognition with CNNs: objects, scales and dataset bias

160 citations · 278 across the 11 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021

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…

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

A review on vision-based analysis for automatic dietary assessment

Wei Wang, Weiqing Min, Tianhao Li +3

Background: Maintaining a healthy diet is vital to avoid health-related issues, e.g., undernutrition, obesity and many non-communicable diseases. An indispensable part of the healt…

cs.CV2021

Applications of knowledge graphs for food science and industry

Weiqing Min, Chunlin Liu, Leyi Xu +1

The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g.…

cs.CV2021

Large Scale Visual Food Recognition

Weiqing Min, Zhiling Wang, Yuxin Liu +5

Food recognition plays an important role in food choice and intake, which is essential to the health and well-being of humans. It is thus of importance to the computer vision commu…

cs.IR2021

Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough

Zhuo Li, Weiqing Min, Jiajun Song +5

Optimizing the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positiv…