The primary objective of infrared and visible image fusion is to amalgamate information from
multi-modal images into fused images containing salient targets and abundant details …

The objective of infrared and visible image fusion is to generate a unified image that
highlights prominent targets and retains intricate texture details, even in scenarios with …

Traditional object detectors require extensive instance-level annotations for training.
Conversely, few-shot object detectors, which are generally fine-tuned using limited data from …

Many applications, such as autonomous driving, rely heavily on multimodal data. However,
differences in resolution, viewing angle, and optical path structure cause pixel misalignment …

Currently, ground truth fusion image, fused image contrast, and naturalness are rarely
considered in existing infrared and visible image fusion (IVF) methods. In this article, we …

To achieve a fused image that contains rich texture details and prominent targets, we
present a progressive dual-branch infrared and visible image fusion network called …

Sugar beet is the world's second largest sugar crop. In modern sugar beet farms, high-
quality images serve as the foundation and guarantee for crop yield prediction, weed …

The inconsistency in the feature spaces of cross-modality images makes it challenging to
adaptively fuse images of different modalities. The fusion rules inevitably have global or …

Infrared and visible image fusion aims to amalgamate information from two distinct sensors
into a composite image containing both infrared and visible light data. To enhance fusion …

红外与可见光图像融合是一门重要的图像处理技术, 因其实用性被广泛应用.
红外与可见光图像融合(infrared and visible image fusion, IVIF) 是多模态图像融合技术中的 …