Scene Understanding Using Deep Neural Networks—Objects, Actions, and Events: A Review-Reference-Cited by-同舟云学术

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Scene Understanding Using Deep Neural Networks—Objects, Actions, and Events: A Review

Published:2020 Issue: Volume: Page:223-231
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Surendran Ranjini,Jude Hemanth D.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1286-5_19

Reference65 articles.

1. L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, A.L. Yuille, DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), April 1 (2018)

2. S. Ahlawat et al., Hand gesture recognition using convolutional neural network, in International Conference on Innovative Computing and Communications, Proceedings of ICICC, vol. 2 (2018), pp 179–186

3. R. Krishna, Y. Zhu, O. Groth, J. Johnson et al., Visual genome: connecting language and vision using crowdsourced dense image annotations. Int. J. Comput. Vis. (Springer) 123(1), 32–73 (2017)

4. C.L. Zitnick, R. Vedantam, D. Parikh, Adopting abstract images for semantic scene understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38(4), 627–38 (2016)

5. P. Pandey et al., Subject-independent emotion detection from EEG signals using deep neural network, in International Conference on Innovative Computing and Communications, Proceedings of ICICC, vol. 2 (2018), pp 41–46

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