Link of the Paper: https://arxiv.org/pdf/1504.06692.pdf

Innovations:

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  • The authors propose the Novel Visual Concept learning from Sentences ( NVCS ) task. In this task, methods need to learn novel concepts from sentence descriptions of a few images.
  • The authors propose a transposed weight sharing scheme, which not only improves performance on image captioning, but also makes the model more suitable for the novel concept learning task.
  • Three novel concept datasets are constructed for NVCS task.

 

Improvements:

  • The method proposed is based on m-RNN and the authors provide several inprovements.

General Points:

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