Fig. 4. Examples of semantic segmentation results of restored images by the state-of-the-art methods and the proposed WRA-Net. (IMAGE)

Nanjing Agricultural University The Academy of Science

Fig. 4. Examples of semantic segmentation results of restored images by the state-of-the-art methods and the proposed WRA-Net.

Caption

The area indicated by the green dashed box is enlarged and shown below each image. Red pixels indicate crops, blue pixels indicate weeds, and black pixels indicate the background. Yellow indicates error pixels where crops were incorrectly detected as weeds or background; orange indicates error pixels where weeds were incorrectly detected as crops or background. Gray indicates error pixels where the background was incorrectly detected as crops or weeds. (A) Original image; (B) motion-blurred image; (C) ground truth label; semantic segmentation results with (D) original image, (E) blurred image, and the restored images by (F) DeblurGANv2, (G) HINet, (H) MIMO-UNet, (I) MPRNet, (J) NAFNet, and (K) WRA-Net (proposed method).

Credit

Plant Phenomics

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