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Visual Relationship Detection with Language prior and Softmax
[article]
2019
arXiv
pre-print
Visual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in an image. The three components are linguistically and visually correlated (e.g. "wear" is related to "person" and "shirt", while "laptop" is related to "table" and "on") thus, the solution space is huge because there are many possible cases between them. Language and visual modules are exploited and a sophisticated
arXiv:1904.07798v1
fatcat:canqaigxvrdc5nj2dbtfsr3pf4