RGB and Depth Image Fusion for Object Detection Using Deep Learning-Reference-Cited by-同舟云学术

RGB and Depth Image Fusion for Object Detection Using Deep Learning

Published:2021-11-13 Issue: Volume: Page:73-93
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Farahnakian Fahimeh,Heikkonen Jukka

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3357-7_3

Reference49 articles.

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3. He, K., Gkioxari, G., Dollár, P., Girshick, R.B.: Mask R-CNN (2017). CoRR arXiv:1703.06870

4. Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 580–587 (2014)

5. Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: towards real-time object detection with region proposal networks. In: Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 28, pp. 91–99. Curran Associates, Inc. (2015)

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