Results 91 to 100 of about 29,104 (263)
Towards few-shot learning with triplet metric learning and Kullback-Leibler optimization
Complex & Intelligent SystemsFew-shot learning has achieved great success in recent years, thanks to its requirement of limited number of labeled data. However, most of the state-of-the-art techniques of few-shot learning employ transfer learning, which still requires massive ...
Yukun Liu +5 more
doaj +1 more source
Advanced Materials, EarlyView.Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source
Few-shot cow identification via meta-learning
Information Processing in AgricultureCow identification is a prerequisite for precision livestock farming. Biometric-based methods have made significant progress in cow identification. However, substantial labelling costs and frequent identification task changes are still hamper model ...
Xingshi Xu +6 more
doaj +1 more source
Advanced Materials, EarlyView.Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
Advanced Materials, EarlyView.Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He +3 more
wiley +1 more source
Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review
Advanced Materials, EarlyView.Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase +6 more
wiley +1 more source
GlocalDualNet: Disentangling Scale and Representation for Few-Shot Remote Sensing Segmentation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe core task of semantic segmentation is to assign predefined category labels to each pixel in an image, thereby distinguishing between different objects and backgrounds.
Hengren Tang +5 more
doaj +1 more source
Few-Shot Learning Method with Augmentation Data Based on Transferring Intra-Class Variations [PDF]
Jisuanji gongchengFew-shot learning aims to classify new categories based on only one or a few examples. To address this problem, data augmentation is often used as a direct and effective approach. Further, the augmented data should be diverse and discriminable.
LI Xiaoyu, LUO Na
doaj +1 more source
Navigating Lipid Nanostructure Design Space Through Continuous Microfluidic Automation
Advanced Materials, EarlyView.LipidXplorer is a novel microfluidic platform which enables rapid navigation of lipid particle design space for high‐resolution phase mapping, lipid nanoparticle optimization, membrane biophysics, and functional nanomaterial discovery. It combines programmable composition control, continuous nanoparticle formation, and automated well‐plate collection ...
Bradley Diggines +10 more
wiley +1 more source
A Feature Generator for Few-Shot Learning
16 pages, Accepted to ACCV ...
Heethanjan Kanagalingam +5 more
openaire +2 more sources