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Divide and Conquer: Subset Matching for Scene Graph Generation in Complex Scenes
2022
IEEE Access
The goal of scene graph generation (SGG) is to classify objects and their pair-wise relationships in a visual scene. Object occlusion is a critical challenge when generating scene graphs in complex scenes. However, this issue has rarely been explored in recent works. Accordingly, in this paper, we propose a subset matching network (SM-Net) that handles the above problem. First, we decompose SGG into two types of subset matching problems: node subset matching and edge subset matching. Each
doi:10.1109/access.2022.3165617
fatcat:7raleom6ffhv5caw3objdq6av4