Multi-interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation
Multi-modality image fusion and segmentation play a vital role in autonomous driving and
robotic operation. Early efforts focus on boosting the performance for only one task, eg …
robotic operation. Early efforts focus on boosting the performance for only one task, eg …
An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection
This research focuses on the discovery and localization of hidden objects in the wild and
serves unmanned systems. Through empirical analysis, infrared and visible image fusion …
serves unmanned systems. Through empirical analysis, infrared and visible image fusion …
Coconet: Coupled contrastive learning network with multi-level feature ensemble for multi-modality image fusion
Infrared and visible image fusion targets to provide an informative image by combining
complementary information from different sensors. Existing learning-based fusion …
complementary information from different sensors. Existing learning-based fusion …
Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion
Z Qu, Y Tang, G Muhammad, P Tiwari - Information Fusion, 2023 - Elsevier
Federated learning is an effective technique to solve the problem of information fusion and
information sharing in intelligent vehicle networking. However, most of the existing federated …
information sharing in intelligent vehicle networking. However, most of the existing federated …
[HTML][HTML] Image fusion for the novelty rotating synthetic aperture system based on vision transformer
Y Sun, X Zhi, S Jiang, G Fan, X Yan, W Zhang - Information Fusion, 2024 - Elsevier
Rotating synthetic aperture (RSA) technology offers a promising solution for achieving large-
aperture and lightweight designs in optical remote-sensing systems. It employs a …
aperture and lightweight designs in optical remote-sensing systems. It employs a …
Learning a graph neural network with cross modality interaction for image fusion
Infrared and visible image fusion has gradually proved to be a vital fork in the field of multi-
modality imaging technologies. In recent developments, researchers not only focus on the …
modality imaging technologies. In recent developments, researchers not only focus on the …
IACC: cross-illumination awareness and color correction for underwater images under mixed natural and artificial lighting
Enhancing underwater images captured under mixed artificial and natural lighting
conditions presents two critical challenges. Existing methods lack a unified luminance …
conditions presents two critical challenges. Existing methods lack a unified luminance …
Holistic dynamic frequency transformer for image fusion and exposure correction
The correction of exposure-related issues is a pivotal component in enhancing the quality of
images, offering substantial implications for various computer vision tasks. Historically, most …
images, offering substantial implications for various computer vision tasks. Historically, most …
Bi-level dynamic learning for jointly multi-modality image fusion and beyond
Recently, multi-modality scene perception tasks, eg, image fusion and scene understanding,
have attracted widespread attention for intelligent vision systems. However, early efforts …
have attracted widespread attention for intelligent vision systems. However, early efforts …
A task-guided, implicitly-searched and metainitialized deep model for image fusion
Image fusion plays a key role in a variety of multi-sensor-based vision systems, especially
for enhancing visual quality and/or extracting aggregated features for perception. However …
for enhancing visual quality and/or extracting aggregated features for perception. However …