One-Shot Municipal Solid Waste Detection via Object-Relevant Feature Enhancement and Category-Level Feature Fusion
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8761-0_5
Reference19 articles.
1. Zhang, Q., et al.: A multi-label waste detection model based on transfer learning. Resour. Conserv. Recycl. 181, 106235 (2022)
2. Zhou, L., et al.: Swdet: anchor-based object detector for solid waste detection in aerial images. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 16, 306–320 (2022)
3. Lin, K., et al.: Toward smarter management and recovery of municipal solid waste: a critical review on deep learning approaches. J. Clean. Prod. 346, 130943 (2022)
4. Kasina, M., Kajdas, B., Michalik, M.: The leaching potential of sewage sludge and municipal waste incineration ashes in terms of landfill safety and potential reuse. Sci. Total. Environ. 791, 148313 (2021)
5. Lin, W.: Yolo-green: a real-time classification and object detection model optimized for waste management. In: 2021 IEEE International Conference on Big Data (Big Data), pp. 51–57. IEEE (2021)
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