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Designing a deep learning model to detect objects
Subject area: Science,Engineering and Technology · Area of research: Computer Vision
Abstract
Object detection is to identify objects in the image along with its localization and classification. This paper deals in the area of computer vision, mainly for the application of deep learning in the object detection task. On the one hand, there?s a straightforward summary of the dataset and deep learning algorithms commonly utilized in computer vision. There?s a literature survey of papers containing different current approaches like faster r-cnn, Yolo, etc. A literature survey is represented in tabular form with our inference.
Keywords
Object Detection, Dataset, Convolutional Neural Network, Computer Vision.
References
[1] Girshick, J. Donahue, T. Darrell, et al, “Rich feature hierarchies for accurate object detection and semantic segmentation,” IEEE Conference on Computer Vision and Pattern Recognition. 2014, pp.580-587
[2] K. He, X. Zhang, S. Ren, et al, “Spatial pyramid pooling in deep convolutional networks for visual recognition,” European Conference on Computer Vision, 2014, pp.346-361
[3] R. Girshick.“Fast r-cnn,”2015 IEEE International Conference on Computer Vision, 2015, pp. 1440-1448
[4] S. Ren, K. He, R. Girshick, et al, “Faster r-cnn: Towards real-time object detection with region proposal networks,” Advances in Neural Information Processing Systems, 2015, pp.91-99
[5] Y. Li, K. He, J. Sun, “R-FCN: Object detection via region-based fully convolutional networks,” Advances in Neural Information Processing Systems, 2016, pp.387-397
[6] J. Redmon, S. Divvala, R. Girshick, et al, “You only look once: Unified, real-time object detection,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp.779-784
[7] W. Liu, D. Anguelov, D. Erhan, et al, “SSD: Single shot multibox detector,” European Conference on Computer Vision, 2016, pp.21-37
How to cite this paper
@article{1702435,
author = {Chandan Gopal Vishwakarma, Swapnil Sonawane, Nikhil Mahadik, Dr. J. W. Bakal},
title = {Designing a deep learning model to detect objects},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {4},
number = {1},
pages = {113-120},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702435.pdf},
abstract = {Object detection is to identify objects in the image along with its localization and classification. This paper deals in the area of computer vision, mainly for the application of deep learning in the object detection task. On the one hand, there?s a straightforward summary of the dataset and deep learning algorithms commonly utilized in computer vision. There?s a literature survey of papers containing different current approaches like faster r-cnn, Yolo, etc. A literature survey is represented in tabular form with our inference.},
keywords = {Object Detection, Dataset, Convolutional Neural Network, Computer Vision.},
month = {July},
}