DRSUNet: Depth-Residual Separable U-Net Model for Semantic Segmentation - Université Paris-Est-Créteil-Val-de-Marne Access content directly
Conference Papers Year : 2023

DRSUNet: Depth-Residual Separable U-Net Model for Semantic Segmentation

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Artificial Intelligence [cs.AI]

Yacine Amirat  : Connect in order to contact the contributor

https://hal.u-pec.fr/hal-04063352

Submitted on : Saturday, April 8, 2023-6:19:44 PM

Last modification on : Wednesday, August 23, 2023-4:00:45 AM

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hal-04063352 , version 1 (08-04-2023)

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  • HAL Id : hal-04063352 , version 1

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Mohamed Arbane, Mohamed Essaid Khanouche, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Y. Amirat. DRSUNet: Depth-Residual Separable U-Net Model for Semantic Segmentation. 2023 International Joint Conference on Neural Networks (IJCNN), Jun 2023, Queensland, Australia. ⟨hal-04063352⟩

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