RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss

MLA

Jianlong Wang, et al. “RAAWC-UNet: An Apple Leaf and Disease Segmentation Method Based on Residual Attention and Atrous Spatial Pyramid Pooling Improved UNet with Weight Compression Loss.” Frontiers in Plant Science, vol. 15, Mar. 2024. EBSCOhost, https://doi.org/10.3389/fpls.2024.1305358.

APA

Jianlong Wang, Junhao Jia, Yake Zhang, Haotian Wang, & Shisong Zhu. (2024). RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss. Frontiers in Plant Science, 15. https://doi.org/10.3389/fpls.2024.1305358

Chicago

Jianlong Wang, Junhao Jia, Yake Zhang, Haotian Wang, and Shisong Zhu. 2024. “RAAWC-UNet: An Apple Leaf and Disease Segmentation Method Based on Residual Attention and Atrous Spatial Pyramid Pooling Improved UNet with Weight Compression Loss.” Frontiers in Plant Science 15 (March). doi:10.3389/fpls.2024.1305358.