Open Access
| Issue |
MATEC Web Conf.
Volume 370, 2022
2022 RAPDASA-RobMech-PRASA-CoSAAMI Conference - Digital Technology in Product Development - The 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI
|
|
|---|---|---|
| Article Number | 07007 | |
| Number of page(s) | 10 | |
| Section | Pattern Recognition | |
| DOI | https://doi.org/10.1051/matecconf/202237007007 | |
| Published online | 01 December 2022 | |
- F. P. Sankoh, X. Yan, Q. Tran, “Environmental and Health Impact of Solid Waste Disposal in Developing Cities: A Case Study of Granville Brook Dumpsite, Freetown, Sierra Leone,” Journal of Environmental Protection, 4, 665–670 (2013). [CrossRef] [Google Scholar]
- P. F. Proença and P. Simões, “TACO: Trash Annotations in Context for Litter Detection,” 3 2020. [Google Scholar]
- S. M. Kassim, “The Importance of Recycling in Solid Waste Management,” Macromolecular Symposia, 320, 43–50, (2012). [CrossRef] [Google Scholar]
- L. Wang and L. Zhang, “Color Image Segmentation Algorithm Based on Affinity Propagation Clustering,” in Foundations of Intelligent Systems, Berlin, 2012. [Google Scholar]
- J. Zhan and B. Hu, “Salient Object Contour Detection Based on Boundary Similar Region,” in 2012 Fourth International Conference on Digital Home, 2012. [Google Scholar]
- U. Ozkaya and L. Seyfi, “Fine-Tuning Models Comparisons on Garbage Classification for Recyclability,” 8 2019. [Google Scholar]
- M. Yang and G. Thung, “Classification of Trash for Recyclability Status,” 2016. [Google Scholar]
- J. F. Peters, Foundations of Computer Vision, Springer International Publishing, 2017. [CrossRef] [Google Scholar]
- C. Rasche, Computer Vision, An Overview For Enthusiasts, 2021. [Google Scholar]
- R. Zhang, L. Jin, Y. Chen, Z. Guo, K. Zhao and Y. Zhao, “Ensembled Tricks for Instance Segmentation,” in 2020 International Wireless Communications and Mobile Computing (IWCMC), 2020. [Google Scholar]
- R. Girshick, J. Donahue, T. Darrell and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” 11 2013. [Google Scholar]
- Y. Li and L. Ma, “A Super-pixel based Method for Instance Segmentation Post-processing,” in 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020. [Google Scholar]
- A. Bassiouny and M. El-Saban, “Semantic segmentation as image representation for scene recognition,” in 2014 IEEE International Conference on Image Processing (ICIP), 2014. [Google Scholar]
- S. Beucher and C. Mathmatique, “The watershed transformation applied to image segmentation,” in 10th Pfefferkorn Conf. on Signal and Image Processing in Microscopy and Microanalysis, 1991. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.