Simon Jegou, Michal Andrzej Drozdzal, David Vazquez, Adriana Romero and Yoshua Bengio
Paper (2017)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/38645/ |
| Conference Title: | IEEE Conference on Computer Vision and Pattern Recognition: Workshops (CVPRW 2017) |
| Conference Location: | Honolulu, HI, USA |
| Conference Date(s): | 2017-07-21 - 2017-07-26 |
| Publisher: | IEEE |
| DOI: | 10.1109/cvprw.2017.156 |
| Official URL: | https://doi.org/10.1109/cvprw.2017.156 |
| Date Deposited: | 18 Apr 2023 15:04 |
| Last Modified: | 23 Nov 2023 16:12 |
| Cite in APA 7: | Jegou, S., Drozdzal, M. A., Vazquez, D., Romero, A., & Bengio, Y. (2017, July). The one hundred layers Tiramisu: fully convolutional DenseNets for semantic segmentation [Paper]. IEEE Conference on Computer Vision and Pattern Recognition: Workshops (CVPRW 2017), Honolulu, HI, USA. https://doi.org/10.1109/cvprw.2017.156 |
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