Results 51 to 60 of about 2,643,411 (303)
Multiple feature fusion by subspace learning [PDF]
Proceedings of the 2008 international conference on Content-based image and video retrieval, 2008 Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion techniques simply concatenate a pair of different features or use canonical correlation analysis based methods for joint dimensionality reduction in the feature space. However,
Yun Fu 0001 +3 more
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Asymmetric Feature Fusion for Image Retrieval
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 In asymmetric retrieval systems, models with different capacities are deployed on platforms with different computational and storage resources. Despite the great progress, existing approaches still suffer from a dilemma between retrieval efficiency and asymmetric accuracy due to the limited capacity of the lightweight query model.
Hui Wu +4 more
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Improved U-Net Multi-scale Feature Fusion Semantic Segmentation Network for RemoteSensing Images [PDF]
Jisuanji kexueHigh spatial resolution of remote sensing images,the large scale differences of different types of objects,and the imba-lance of categories are the main challenges faced by accurate semantic segmentation tasks.In order to improve the accuracy of semantic
JIANG Wenwen, XIA Ying
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Feature-Level Multi-focus Image Fusion using Neural Network and Image Enhancement [PDF]
, 2012 Image Processing applications have grown vastly in real world. Commonly due to limited depth of optical field lenses, it becomes inconceivable to obtain an image where all the objects are in focus.
Dr. G. Mamatha +2 more
core
The architecture of feature fusion block.
, 2022 The architecture of feature fusion block.
Yuying Dong (5495438) +2 more
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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Feature-Based Image Fusion Quality Metrics
, 2008 Feature-Based Image Fusion Quality ...
Saeid Nahavandi (714568) +2 more
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Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-Label Data
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2017 The performance of the semantic concept detection method depends on, the selection of the low-level visual features used to represent key-frames of a shot and the selection of the feature-fusion method used.
Nitin Jagannathrao Janwe +1 more
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source