Image captioning using encoder–decoder-based approach where CNN is used as the
Encoder and sequence generator like RNN as Decoder has proven to be very effective …

Image Captioning is an arduous task of producing syntactically and semantically correct
textual descriptions of an image in natural language with context related to the image …

An omnipresent challenging research topic in computer vision is the generation of captions
from an input image. Previously, numerous experiments have been conducted on image …

As computers have become efficient at understanding visual information and transforming it
into a written representation, research interest in tasks like automatic image captioning has …

Attention based approaches has been manifested to be an effective method in image
captioning. However, attention can be used on text called semantic attention or on image …

Generating meaningful textual descriptions from visual contents having the context in
consideration is very challenging in terms of Natural Language Processing (NLP) and …

Image captioning, the process of generating natural language descriptions based on image
content, has garnered attention in AI research for its implications in scene understanding …

Automatic caption generation from images has become an active research topic in the field
of Computer Vision (CV) and Natural Language Processing (NLP). Machine generated …

The task of image captioning is a complex process that involves generating textual
descriptions for images. Much of the research done in this particular domain, especially …

The image captioning process generates human-like captions for an image. In recent years
of an appeared research area, automatic image captioning is acquiring more attention …