CPW-DICE: a novel center and pixel-based weighting for damage segmentation
Author:
Affiliation:
1. Anadolu Sigorta, Istanbul, Turkey
2. Boğaziçi University, Bebek/Istanbul, Türkiye
Funder
Anadolu Sigorta
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2259115
Reference61 articles.
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2. Front-View Vehicle Damage Detection using Roadway Surveillance Camera Images
3. LinkNet: Exploiting encoder representations for efficient semantic segmentation
4. Chen L.-C. Papandreou G. Schroff F. & Adam H. (2017). Rethinking atrous convolution for semantic image segmentation (arXiv:1706.05587). arXiv . http://arxiv.org/abs/1706.05587
5. Chen L.-C. Zhu Y. Papandreou G. Schroff F. & Adam H. (2018). Encoder-decoder with atrous separable convolution for semantic image segmentation (arXiv:1802.02611). arXiv . http://arxiv.org/abs/1802.02611
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