Papers with cross-semantic relation measuring block

1 papers
Semantic Relation-aware Difference Representation Learning for Change Captioning (2021.findings-acl)

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Challenge: Existing methods to describe semantic change in images with distractors are difficult to learn .
Approach: They propose a semantic relation-aware difference representation learning network to explicitly learn the difference representation in the existence of distractors.
Outcome: The proposed network achieves state-of-the-art performance on CLEVR-Change and Spot-the -Diff datasets.

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