Unsupervised Infrared and Visible Image Fusion with Pixel Self ...

In this paper, we propose a convolutional neural network (CNN) based unsupervised infrared and visible image fusion method.

In this paper, we propose a convolutional neural network (CNN) based unsupervised infrared and visible image fusion method. The proposed method optimizes ...

Rethinking Cross-Attention for Infrared and Visible Image Fusion

Moreover, the successful training of ATFuse is facilitated by a proposed segmented pixel loss function, which provides a good trade-off for ...

Unsupervised end-to-end infrared and visible image fusion network ...

... image fusion owing to its powerful ability of feature extraction and self-learning. ... Willsky, “A multiscale approach to pixel-level image ...

Infrared and visible image fusion with entropy-based adaptive fusion ...

We label the infrared image pixel-by-pixel in the training set to obtain the ... proposed an unsupervised infrared and visible image fusion framework [16].

Unsupervised Misaligned Infrared and Visible Image Fusion via ...

More often than not, existing widely-used image align- ment methods [Ilg et al., 2017; Balakrishnan et al., 2018] perform pixel-wise and feature-level alignment ...

A review on infrared and visible image fusion algorithms based on ...

Moreover, by constraining the similarity between the fused image and the source images, unsupervised learning is achieved. Notably, U2Fusion employs elastic ...

MetaFusion: Infrared and Visible Image Fusion via Meta-Feature ...

Then, those meta features are used to guide IVIF network to learn pixel-level semantic information. Object Detection. Deep learning-based object detection.

VIF-Net: An Unsupervised Framework for Infrared and Visible Image ...

Meanwhile, Hou et al. [14] determined the saliency of the source image based on pixel intensities, which guided the fusion network in preserving rich salient ...

Infrared and Visible Image Fusion with an Unsupervised Network

This thesis trains and evaluates an unsupervised network on two new datasets created for the fusion of visual near infrared (VNIR) and long wave infrared (LWIR) ...

Self-Attention Progressive Network for Infrared and Visible Image ...

Pixel-level image fusion: A survey of the state of the art. Inf. Fusion ... U2Fusion: A unified unsupervised image fusion network. IEEE Trans. Pattern ...

AFT: Adaptive Fusion Transformer for Visible and Infrared Images

An Adaptive Fusion Transformer is proposed for unsupervised pixel-level fusion of visible ... STFNet: Self-Supervised Transformer for Infrared and Visible Image ...

Unsupervised end-to-end infrared and visible image fusion network ...

weight through gradient information [11] or image blocks [12],. and perform weighted fusion on pixel level. Transform domain. approaches [13 ...

Interactive Feature Embedding for Infrared and Visible Image Fusion

With the help of self-supervised learning framework, hierarchical representations of source images can be efficiently extracted. In particular, ...

Infrared and visible image fusion based on multi‐channel ...

To solve the above problems, in this paper we proposed a multi-channel unsupervised convolutional neural network fusion model. The proposed ...

Visible and Infrared Image Fusion Using Deep Learning

This section introduces representative unsupervised CNN-based VIF methods whose overall architecture is shown in Fig. 6(a). Due to the lack of ground truth, the ...

Infrared and Visible Image Fusion with Significant Target ...

... infrared and visible image fusion frameworks based on self-Auto Encoder. Xu et al. proposed an unsupervised end-to-end image fusion network ...

AcFusion: Infrared and Visible Image Fusion Based on Self-Attention ...

An innovative and streamlined fusion network, called AcFusion, which consists of a combination of convolution and multi-head self-attention, to enhance the ...

MFST: Multi-Modal Feature Self-Adaptive Transformer for Infrared ...

Infrared and visible image fusion is to combine the information of thermal radiation and detailed texture from the two images into one informative fused ...

Infrared and Visible Image Fusion with Hybrid Image Filtering - 2020

The spatial domain-based approaches mainly generate weights according to the characteristics of the original spatial information of the pixels ...