Fig. 3
From: Large language model-driven knowledge graph reasoning for enhanced semantic segmentation
An overview of our Knowledge Graph Fusion Module. In this module, we first apply graph convolution to both the matrix-form knowledge graph and the vector representation of categories twice to obtain a semantic graph. Subsequently, we align this semantic graph with the features derived from the network’s prior operations. The aligned features are subsequently combined with the original features to generate enriched representations.
