Search Results for author: Zhiling Wang

Found 6 papers, 2 papers with code

Vision-Based Fruit Recognition via Multi-Scale Attention CNN

1 code implementation journal 2023 Weiqing Min, Zhiling Wang, Jiahao Yang, Chunlin Liu, Shuqiang Jiang

Fruit quality assessment, grading and sorting are of vital importance to fruit processing, and all these involve fruit recognition.

CMSG Cross-Media Semantic-Graph Feature Matching Algorithm for Autonomous Vehicle Relocalization

no code implementations15 May 2023 Shuhang Tan, Hengyu Liu, Zhiling Wang

Although matching features between different media is challenging, we believe cross-media is the tendency for AV relocalization since its low cost and accuracy can be comparable to the same-sensor-based methods.

RCP-RF: A Comprehensive Road-car-pedestrian Risk Management Framework based on Driving Risk Potential Field

1 code implementation4 May 2023 Shuhang Tan, Zhiling Wang, Yan Zhong

Recent years have witnessed the proliferation of traffic accidents, which led wide researches on Automated Vehicle (AV) technologies to reduce vehicle accidents, especially on risk assessment framework of AV technologies.


Large Scale Visual Food Recognition

no code implementations30 Mar 2021 Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang

Food2K can be further explored to benefit more food-relevant tasks including emerging and more complex ones (e. g., nutritional understanding of food), and the trained models on Food2K can be expected as backbones to improve the performance of more food-relevant tasks.

Fine-Grained Visual Recognition Food Recognition +3

ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network

no code implementations13 Aug 2020 Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang

To encourage further progress in food recognition, we introduce the dataset ISIA Food- 500 with 500 categories from the list in the Wikipedia and 399, 726 images, a more comprehensive food dataset that surpasses existing popular benchmark datasets by category coverage and data volume.

Food Recognition Management

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