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

Innovations:

• 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: