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Found 4 papers, 3 papers with code
SGTR: End-to-end Scene Graph Generation with Transformer
Scene Graph Generation (SGG) remains a challenging visual understanding task due to its compositional property.
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer
We develop a decoding-and-assembling paradigm for the end-to-end scene graph generation.
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Scene graph generation is an important visual understanding task with a broad range of vision applications.
Pose-aware Multi-level Feature Network for Human Object Interaction Detection
Reasoning human object interactions is a core problem in human-centric scene understanding and detecting such relations poses a unique challenge to vision systems due to large variations in human-object configurations, multiple co-occurring relation instances and subtle visual difference between relation categories.
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