In the recent past, more than 5 years or so, DL especially the large language models (LLMs)
has generated extensive studies out of a distinctly average downturn field of knowledge …

The encoder-decoder framework has proliferated in current image captioning task, where
the decoder generates target description word by word based on the preceding captions …

Image captioning has received significant attention in the cross-modal field in which spatial
and channel attentions play a crucial role. However, such attention-based approaches …

Storytelling is a remarkable human skill that plays a significant role in learning and
experiencing everyday life. Developing narratives is central to human mental health …

The objective of image captioning models is to bridge the gap between the visual and
linguistic modalities by generating natural language descriptions that accurately reflect the …

Image Captioning is the process of generating textual descriptions of given images. It
encompasses two major fields of deep learning, computer vision, and natural language …

Abstract Visual Story-Telling is the process of forming a multi sentence story from a set of
images. Appropriately including visual variation and contextual information captured inside …

Suspicious human activities like fighting, shooting, fire have got serious security concern in
public places because of a steep surge in these types of cases all around. CCTV cameras …

Object detection, visual relationship detection, and image captioning, which are the three
main visual tasks in scene understanding, are highly correlated and correspond to different …

Automatic image captioning is an interesting task that lies at the intersection of computer
vision and natural language processing. Although image captioning based on reinforcement …