Image Captioning using Deep Neural Architectures
This is an incremental review paper summarizing progress in image captioning for researchers.
This paper reviews existing models for image captioning, discussing how advances in object recognition and machine translation have improved performance, and evaluates models using standard metrics.
Automatically creating the description of an image using any natural languages sentence like English is a very challenging task. It requires expertise of both image processing as well as natural language processing. This paper discuss about different available models for image captioning task. We have also discussed about how the advancement in the task of object recognition and machine translation has greatly improved the performance of image captioning model in recent years. In addition to that we have discussed how this model can be implemented. In the end, we have also evaluated the performance of model using standard evaluation matrices.