Anomaly detection framework for unmanned vending machines

Author:

Da Zongyang,Dun YujieORCID,Liu Chengxu,Liang Yuanzhi,Xue Yao,Qian Xueming

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference47 articles.

1. Y. Hao, Y. Fu, Y.-G. Jiang, Take Goods from Shelves: A Dataset for Class-Incremental Object Detection, in: Proceedings of the 2019 on International Conference on Multimedia Retrieval, ICMR ’19, 2019, pp. 271–278.

2. Towards new retail: A benchmark dataset for smart unmanned vending machines;Zhang;IEEE Trans. Ind. Inform.,2019

3. Product recognition for unmanned vending machines;Liu;IEEE Transactions on Neural Networks and Learning Systems,2022

4. L. Zhao, J. Yao, H. Du, J. Zhao, R. Zhang, A Unified Object Detection Framework for Intelligent Retail Container Commodities, in: 2019 IEEE International Conference on Image Processing, ICIP, 2019, pp. 3891–3895.

5. Naïve approach for bounding box annotation and object detection towards smart retail systems;Ekanayake,2019

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