Cited By
View all- Tan LWu HXu ZXia J(2024)Multi-object garbage image detection algorithm based on SP-SSDExpert Systems with Applications10.1016/j.eswa.2024.125773(125773)Online publication date: Nov-2024
Garbage object detection method based on improved Faster R-CNN
Authors: 
Weiting Feng, Wei Yan, Jianbin XieAuthors Info & Claims
Pages 415 - 419
Abstract
Garbage sorting plays an important and far-reaching role in environmental protection and resource regeneration. At present, garbage sorting is mainly manual assistance. Therefore, because of the characteristics of different object sizes in garbage images, this paper proposes a garbage object detection method based on improved Faster R-CNN. ResNet50 is the backbone network, and a Feature Pyramid Network structure is added to the model. Modified RPN structure parameters, and the original ROI pooling layer is changed to ROI align layer to achieve effective extraction of image features. The experiment shows that the improved Faster R-CNN method with ROI Align and FPN structure is effective in garbage object detection. ROI Align increased by 0.8 percentage points and FPN structure increased by 0.96 percentage points. Finally, the improved Faster R-CNN method achieves 92.81% accuracy on the garbage target detection dataset.
References
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Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2016: 770-778. https://doi.org/10.1109/CVPR.2016.90.
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Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie. 2017. Feature Pyramid Networks for Object Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE.
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Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. 2016. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE.
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Uijlings, J.R.R., van de Sande, K.E.A., Gevers, T. Selective Search for Object Recognition. Int J Comput Vis 104, 154–171 (2013). https://doi.org/10.1007/s11263-013-0620-5.
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Kaiming He, Georgia Gkioxari, Piotr Dollár and Ross Girshick. 2020. Mask R-CNN. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(2): 386-397. https://doi.org/10.1109/TPAMI.2018.2844175.
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- Garbage object detection method based on improved Faster R-CNN
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Published In
October 2022
753 pages
ISBN:9781450397780
DOI:10.1145/3569966
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Association for Computing Machinery
New York, NY, United States
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Published: 20 December 2022
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CSSE 2022
CSSE 2022: 2022 5th International Conference on Computer Science and Software Engineering
October 21 - 23, 2022
Guilin, China
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Overall Acceptance Rate 33 of 74 submissions, 45%
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View all- Tan LWu HXu ZXia J(2024)Multi-object garbage image detection algorithm based on SP-SSDExpert Systems with Applications10.1016/j.eswa.2024.125773(125773)Online publication date: Nov-2024
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