Fig. 8 | Scientific Reports

Fig. 8

From: PUNet: a lightweight parallel U-Net architecture integrating Mamba–CNN for high-precision image segmentation

Fig. 8

Visualization results of different models on CamVid. (a) Original crack images. (b) Ground truth of crack regions. (c) Results of PUNet. (d) Results of DeeplabV3. (e) Results of ENet. (f) Results of FCN. (g) Results of LightM-UNet. (h) Results of LR-ASPP. (i) Results of Swin-Unet. (j) Results of SegNet. (k) Results of UNet. PUNet is our proposed model, and the red markers indicate the cases of segmentation failure.

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