Automated barcodeless product classifier for food retail self-checkout images

Author:

Ciapas BernardasORCID,Treigys PovilasORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference41 articles.

1. NCR: Self-checkout: a global consumer perspective (2019). https://www.ncr.co.jp/wp-content/uploads/files/solutions/self/fl/fl_wpa/RET_SCO_wp.pdf

2. Grand View Research: Self-checkout systems market size, share and trends analysis report by components (Systems, Services), By Type (Cash Based, Cashless), By Application, By Region, And Segment Forecasts, 2020 - 2027 (2020). https://www.grandviewresearch.com/industry-analysis/self-checkout-systems-market

3. Beck, A.: Self-checkout in retail: measuring the loss (2018). https://www.researchgate.net/publication/330214157

4. Oltean, M.: Fruits 360 dataset: new research directions (2021). https://www.researchgate.net/publication/354535752_Fruits_360_dataset_new_research_directions

5. Tan, M., Le, Q.: Efficientnet: Rethinking model scaling for convolutional neural networks. In: International Conference on Machine Learning, 6105–6114 (2019). PMLR

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