Infrared and visible light image fusion combines infrared and visible light images by
extracting the main information from each image and fusing it together to provide a more …

Nanotechnology, nanosensors in particular, has increasingly drawn researchers' attention in
recent years since it has been shown to be a powerful tool for several fields like mining …

Multi-modality image fusion is a technique that combines information from different sensors
or modalities enabling the fused image to retain complementary features from each modality …

In infrared and visible image fusion (IVIF), prior knowledge constraints established with
image-level information often ignore the identity and differences between source image …

The existing transformer-based infrared and visible image fusion methods mainly focus on
the self-attention correlation existing in the intra-modal of each image; yet these methods …

Robot-human object handover has been extensively studied in recent years for a wide
range of applications. However, it is still far from being as natural as human-human …

In order to be adapted to high-level vision tasks, several infrared and visible image fusion
methods cascade with the downstream network to enhance the semantic information of …

Compared with traditional mine detection methods, UAV-based measures are more suitable
for the rapid detection of large areas of scatterable landmines, and a multispectral fusion …

Multi-modal image fusion aims to combine information from different modes to create a
single image with comprehensive information and detailed textures. However, fusion models …

Matching visible and near-infrared (NIR) images is a major challenge in remote sensing
image fusion due to nonlinear radiometric differences. Deep learning has shown promise in …