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RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss
Research article (Frontiers in Plant Science, 2024) · cited 21× · AI/ML
RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss
Summary
RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss is a scholarly article[1].
Key Facts
RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/raawc-unet-an-apple-leaf-and-disease-segmentation-method-based-on-residual-attention-and-atrous-spatial-pyramid-pooling-
MLA“RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/raawc-unet-an-apple-leaf-and-disease-segmentation-method-based-on-residual-attention-and-atrous-spatial-pyramid-pooling-.
BibTeX@misc{4ortxyz_raawc-unet-an-apple-leaf-and-disease-segmentation-method-based-on-residual-attention-and-atrous-spatial-pyramid-pooling-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss}}, year = {2026}, url = {https://4ort.xyz/entity/raawc-unet-an-apple-leaf-and-disease-segmentation-method-based-on-residual-attention-and-atrous-spatial-pyramid-pooling-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss — https://4ort.xyz/entity/raawc-unet-an-apple-leaf-and-disease-segmentation-method-based-on-residual-attention-and-atrous-spatial-pyramid-pooling- (retrieved 2026-05-24)
