Take Goods from Shelves
Author:
Affiliation:
1. Fudan University, Shanghai, China
2. Fudan University & Jilian Technology Group (Video++), Shanghai, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3323873.3325033
Reference32 articles.
1. Jifeng Dai Yi Li Kaiming He and Jian Sun. 2016. R-FCN: Object Detection via Region-based Fully Convolutional Networks. arXiv (2016). Jifeng Dai Yi Li Kaiming He and Jian Sun. 2016. R-FCN: Object Detection via Region-based Fully Convolutional Networks. arXiv (2016).
2. Jia Deng Wei Dong Richard Socher Li-Jia Li Kai Li and Li Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR. Jia Deng Wei Dong Richard Socher Li-Jia Li Kai Li and Li Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR.
3. The Pascal Visual Object Classes (VOC) Challenge
4. Patrick Follmann Bertram Drost and Tobias Böttger. 2018. Acquire Augment Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. ArXiv (2018). Patrick Follmann Bertram Drost and Tobias Böttger. 2018. Acquire Augment Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. ArXiv (2018).
5. Ross Girshick. 2015. Fast R-CNN. In ICCV. 10.1109/ICCV.2015.169 Ross Girshick. 2015. Fast R-CNN. In ICCV. 10.1109/ICCV.2015.169
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