Adaptive System for Object Detection and Picking Based on Efficient Convolutional Neural Networks

Author:

Wang Hwang-Cheng,Chen Wei-Zhi,Huang Yan-Long,Zhuang Jia-Jun

Publisher

Springer International Publishing

Reference15 articles.

1. Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., & Adam, H. (2017). MobileNets: Efficient convolutional neural networks for mobile vision applications. Google Inc.

2. Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., & Chen, L. (2018). MobileNetV2: Inverted residuals and linear bottlenecks. In 2018 IEEE/CVF conference on computer vision and pattern recognition (pp. 4510–4520).

3. Tan, M., & Le, Q. V. (2019). EfficientNet: Rethinking model scaling for convolutional neural networks. International Conference on Machine Learning, 6105–6114.

4. Dai, J., Li, Y., He, K., & Sun, J. (2016). RFCN: Object detection via region-based fully convolutional networks. In Advances in neural information processing systems (pp. 379–387).

5. Chen, J., Han, G., Guo, S., & Diao, W. (2018). FragDroid: Automated user interface interaction with activity and fragment analysis in android applications. In 48th annual IEEE/IFIP international conference on dependable systems and networks (DSN) (pp. 398–409). https://doi.org/10.1109/DSN.2018.00049

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