Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a new tree based approach to composing expressive image descriptions that makes use of naturally occuring b images with captions.  investigate two related tasks: image caption   generalization   and   generation  , where the former is an optional sub-task of the latter. The high-level idea of our approach is to harvest expressive phrases (as tree fragments) from existing image descriptions, then to compose a new description by selectively combining the extracted (and optionally pruned) tree fragments. Key algorithmic components are   tree composition   and   compression  , both integrating tree structure with sequence structure. Our proposed system attains significantly better performance than previous approaches for both image caption   generalization   and   generation  . In addition, our work is the first to show the empirical benefit of automatically generalized captions for composing natural image descriptions.
['Polina Kuznetsova', 'Vicente Ordonez', 'Tamara L. Berg', 'Yejin Choi']
I am writing a research paper on a idea TREETALK: Composition and Compression of Trees for Image Descriptions
[{"from": "human", "value": "I am writing a research paper on a idea TREETALK: Composition and Compression of Trees for Image Descriptions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a new tree based approach to composing expressive image descriptions that makes use of naturally occuring b images with captions.  investigate two related tasks: image caption   generalization   and   generation  , where the former is an optional sub-task of the latter. The high-level idea of our approach is to harvest expressive phrases (as tree fragments) from existing image descriptions, then to compose a new description by selectively combining the extracted (and optionally pruned) tree fragments. Key algorithmic components are   tree composition   and   compression  , both integrating tree structure with sequence structure. Our proposed system attains significantly better performance than previous approaches for both image caption   generalization   and   generation  . In addition, our work is the first to show the empirical benefit of automatically generalized captions for composing natural image descriptions."}]