Fig. 5
From: Large language model-driven knowledge graph reasoning for enhanced semantic segmentation
Visualization of results on the Mixed test set. Each row shows a sample, with the columns representing the input image, ground truth, baseline segmentation result, and the segmentation outcomes of our approach, respectively. Compared to DDRNet, our method exhibits superior segmentation accuracy, particularly when segmenting objects that are similar in appearance to their background.
