Papers with difference representation
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. |
Rˆ3Net:Relation-embedded Representation Reconstruction Network for Change Captioning (2021.emnlp-main)
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| Challenge: | Existing work on change captioning uses a natural language sentence to describe disagreement between two images. |
| Approach: | They propose a Relation-embedded Representation Reconstruction Network to distinguish real change from clutter and irrelevant changes. |
| Outcome: | The proposed method achieves state-of-the-art on two public datasets. |