Indoor objects detection system implementation using multi-graphic processing units
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-021-03419-9.pdf
Reference45 articles.
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2. Xiongwei, W.U., Doyen, S.A.H.O.O., et al.: Recent advances in deep learning for object detection. Neurocomputing (2020). https://doi.org/10.1016/j.neucom.2020.01.085
3. Mouna, A.F.T.F., Riadh, A., et al.: IEEE international symposium on measurements & networking (M&N). IEEE 2019, 1–4 (2019). https://doi.org/10.1109/IWMN.2019.8805042
4. Mouna, A.F.I.F., Riadh, A.Y.A.C.H.I., Yahia, S.A.I.D., et al.: Indoor image recognition and classification via deep convolutional neural network International conference on the Sciences of Electronics, Technologies of Information and Telecommunications. Springer International Publishing Cham 2018, 364–371 (2018). https://doi.org/10.1007/978-3-030-21005-2_35
5. Minaee shervin, Boykov Yuri, Porikli Fatih et al. Image segmentation using deep learning: A survey. arXiv preprint 2020
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