1. Artificial intelligence applications in solid waste management: a systematic research review;Abdallah;Waste Manag.,2020
2. Bhat, S.F., Birkl, R., Wofk, D., Wonka, P., M ̈uller, M., 2023. Zoedepth: Zero-shot transfer by combining relative and metric depth. arXiv preprint arXiv:2302.12288. https://doi.org/10.48550/arXiv.2302.12288.
3. Bobulski, J., Kubanek, M., 2019. Waste classification system using image processing and convolutional neural networks. In: Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks. Springer, pp. 350–361. https://doi.org/10.1007/978-3-030-20518-8_30.
4. Cascade r-cnn: high quality object detection and instance segmentation;Cai;IEEE Trans. Pattern Anal. Mach. Intell.,2019
5. Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., et al., 2019. Mmdetection: open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155. https://doi.org/10.48550/arXiv.1906.07155.