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dc.contributor.author | Monjur, Ocean | |
dc.contributor.author | Shams, Mohammad Galib | |
dc.contributor.author | Mahmud, Faysal | |
dc.date.accessioned | 2024-08-30T10:17:23Z | |
dc.date.available | 2024-08-30T10:17:23Z | |
dc.date.issued | 2023-05-30 | |
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Yu, “Graphfpn: Graph feature pyramid network for object detection,” in Proceedings of the IEEE/CVF international conference on computer vision, 2021, pp. 2763–2772. [27] J. Pang, K. Chen, J. Shi, H. Feng, W. Ouyang, and D. Lin, “Libra r-cnn: Towards balanced learning for object detection,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019, pp. 821–830. [28] K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 770–778. [29] K. Chen, J. Wang, J. Pang, Y. Cao, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Xu et al., “Mmdetection: Open mmlab detection toolbox and benchmark,” arXiv preprint arXiv:1906.07155, 2019. [30] D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980, 2014 | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/2146 | |
dc.description | Supervised by Dr. Md. Hasanul Kabir, Co-supervisors, Mr. Md. Bakhtiar Hasan, Assistant Professor, Mr. Ahnaf Munir, Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh Assistant Professor | en_US |
dc.language.iso | en | en_US |
dc.title | Object Detector for Waste Detection by Modifying Feature Pyramid Networks to Enhance Feature Fusion | en_US |
dc.type | Thesis | en_US |