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Found 6 papers, 6 papers with code
R$^3$Net:Relation-embedded Representation Reconstruction Network for Change Captioning
In this paper, we propose a Relation-embedded Representation Reconstruction Network (R$^3$Net) to explicitly distinguish the real change from the large amount of clutter and irrelevant changes.
LS-GAN: Iterative Language-based Image Manipulation via Long and Short Term Consistency Reasoning
To address this issue, we propose a novel Long and Short term consistency reasoning Generative Adversarial Network (LS-GAN), which enhances the awareness of previous objects with current instruction and better maintains the consistency with the user's intent under the continuous iterations.
Neighborhood Contrastive Transformer for Change Captioning
Change captioning is to describe the semantic change between a pair of similar images in natural language.
Self-supervised Cross-view Representation Reconstruction for Change Captioning
Change captioning aims to describe the difference between a pair of similar images.
Rˆ3Net:Relation-embedded Representation Reconstruction Network for Change Captioning
In this paper, we propose a Relation-embedded Representation Reconstruction Network (Rˆ3Net) to explicitly distinguish the real change from the large amount of clutter and irrelevant changes.
