Results 11 to 20 of about 1,021,734 (270)
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers [PDF]
Scene understanding based on image segmentation is a crucial component of autonomous vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting complementary features from the supplementary modality ( ${X}$ -modality). However,
Huayao Liu +4 more
semanticscholar +1 more source
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion [PDF]
Multi-modality (MM) image fusion aims to render fused images that maintain the merits of different modalities, e.g., functional highlight and detailed textures.
Zixiang Zhao +7 more
semanticscholar +1 more source
From data fusion to knowledge fusion [PDF]
The task of data fusion is to identify the true values of data items ( e.g. , the true date of birth for Tom Cruise ) among multiple observed values drawn from different sources ( e.g. , Web sites) of varying (and unknown) reliability.
Xin Luna Dong +6 more
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DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion [PDF]
Multi-modality image fusion aims to combine different modalities to produce fused images that retain the complementary features of each modality, such as functional highlights and texture details.
Zixiang Zhao +9 more
semanticscholar +1 more source
El control de concentraciones económicas del derecho de competencia ecuatoriano está compuesto por tres procedimientos: uno de resolución sobre la concentración notificada, uno de seguimiento a las condiciones bajo las cuales se la pueda subordinar, y ...
Gustavo Andrés Villacreses Brito
doaj +1 more source
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images [PDF]
Deep learning based fusion methods have been achieving promising performance in image fusion tasks. This is attributed to the network architecture that plays a very important role in the fusion process.
Hui Li +4 more
semanticscholar +1 more source
RFN-Nest: An end-to-end residual fusion network for infrared and visible images [PDF]
In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration.
Hui Li, Xiaojun Wu, J. Kittler
semanticscholar +1 more source
Membrane fusion, one of the most fundamental processes in life, occurs when two separate lipid membranes merge into a single continuous bilayer. Fusion reactions share common features, but are catalyzed by diverse proteins. These proteins mediate the initial recognition of the membranes that are destined for fusion and pull the membranes close together
Jahn, R., Lang, T., Suedhof, T.
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Las prácticas de fusiones y adquisiciones (Mergers and ac-quisitions; M&A) han formado parte de las estrategias cor-porativas aplicadas por las empresas en búsqueda de con-solidación y crecimiento, o como última salida antes de labancarrota, con
Eduardo MartínezRobles +2 more
doaj +1 more source
We define the interpolative fusion [Formula: see text] of a family [Formula: see text] of first-order theories over a common reduct [Formula: see text], a notion that generalizes many examples of random or generic structures in the model-theoretic literature. When each [Formula: see text] is model-complete, [Formula: see text] coincides with the model
Alex Kruckman +2 more
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