The Road Map From Artificial Intelligence, Machine Learning, Deep Learning Techniques Towards Image Captioning System.
preprint
OA: closed
CC-BY-4.0
Abstract
Image Captioning is the process of generating textual descriptions of an image. These descriptions need to be syntactically and semantically correct. Image Captioning has potential advantages in many applications like image indexing techniques, devices for visually impaired persons, social media and several other natural language processing applications. Image Captioning is a popular research area where numerous scopes for new findings exist in preparation of datasets, generating language models, developing the models and evaluating the same. This paper extensively surveys very early literature that includes the advent of Artificial Intelligence, the Machine Learning pathway, the photography era, the early Deep Learning and the current Deep Learning methodology for image Captioning. This survey will definitely help novice researchers to understand the roadmap to current techniques.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0