An Inter-Comparative Survey on State-of-the-Art Detectors—R-CNN, YOLO, and SSD-Reference-Cited by-同舟云学术

An Inter-Comparative Survey on State-of-the-Art Detectors—R-CNN, YOLO, and SSD

Published:2021 Issue: Volume: Page:475-483
ISSN:2190-3018
Container-title:Intelligent Manufacturing and Energy Sustainability
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Author:

Bhavya Sree B.,Yashwanth Bharadwaj V.,Neelima N.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4443-3_46

Reference11 articles.

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3. K. Madan, K. Bhanu Anusha, P. Pavan Kalyan, N. Neelima, Research on different classifiers for early detection of lung nodules. Int. J. Recent Technol. Eng. 1037–1040 (2019)

4. R. Girshick, Fast R-CNN, in IEEE International Conference on Computer Vision (ICCV) (2015). ISSN 2380-7504

5. J.R. Uijlings, K.E. van de Sande, T. Gevers, A.W. Smeulders, Selective search for object recognition. Int. J. Comput. Vision (IJCV)

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