Image captioning is a pretty modern area of the convergence of computer vision and natural
language processing and is widely used in a range of applications such as multi-modal …

Recently, the burgeoning demands for captioning-related applications have inspired great
endeavors in the remote sensing community. However, current benchmark datasets are …

The emerging field of vision–language models, which combines computer vision and natural
language processing (NLP), has gained significant interest and exploration. This integration …

Recently, remote sensing image captioning (RSIC) has drawn an increasing attention. In this
field, the encoder-decoder-based methods have become the mainstream due to their …

Change detection (CD) is among the most important applications in remote sensing (RS)
that allows identifying the changes that occurred in a given geographical area across …

The performance of remote sensing image retrieval (RSIR) systems depends on the
capability of the extracted features in characterizing the semantic content of images. Existing …

Tremendous progresses have been made in remote sensing image captioning (RSIC) task
in recent years, yet there still some unresolved problems:(1) facing the gap between the …

Remote sensing image captioning (RSIC), which describes a remote sensing image with a
semantically related sentence, has been a cross-modal challenge between computer vision …

High-resolution remote sensing images are now available with the progress of remote
sensing technology. With respect to popular remote sensing tasks, such as scene …

Visual question generation (VQG) is a fundamental task in vision-language understanding
that aims to generate relevant questions about the given input image. In this article, we …