Today, computer vision object detection methods are used for safety inspections from site
videos and images. These methods detect bounding boxes and use hand-made rules to …

In machine learning, image captioning is a process of extracting information as per the
action performed in an image. An image may contain various objects that may be associated …

Recently, image captioning models have made remarkable progress by introducing
transformer architecture, which utilizes self-attention to explore intra-and inter-modal …

Dense captioning is a very critical but under-explored task, which aims to densely detect
localized regions-of-interest (RoIs) and describe them with natural language in a given …

Video captioning has been a widely researched topic integrating visual information and
natural language but performing video captioning on long untrimmed videos is still …

The rapid growth in the availability of the Internet and smartphones have resulted in the
increase in usage of social media in recent years. This increased usage has thereby …

The existing dataset for visual dialog comprises multiple rounds of questions and a diverse
range of image contents. However, it faces challenges in overcoming visual semantic …

The process of creating a written description of an image that describes the action depicted
in it is known as image captioning. It is one of the most challenging study areas, and the only …

Image-to-image retrieval has been a focal point of research in both academia and industry
over the past few decades, finding applications across various fields. However, with …

Image caption is a very popular approach through which descriptive language can be
generated in natural form. It is a challenging task in the field of Artificial Intelligence where …