Results 61 to 70 of about 5,457 (203)
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Attribute-Guided Face Generation Using Conditional CycleGAN
, 2018 We are interested in attribute-guided face generation: given a low-res face input image, an attribute vector that can be extracted from a high-res image (attribute image), our new method generates a high-res face image for the low-res input that ...
Lu, Yongyi +5 more
core +1 more source
Bioengineering, 2023 This study aims to propose and evaluate DR-CycleGAN, a disentangled unsupervised network by introducing a novel content-consistency loss, for removing arterial-phase motion artifacts in gadoxetic acid-enhanced liver MRI examinations.
Feng Pan +9 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Performance comparison of the proposed CycleGAN with other SOTA deep generation models.
, 2023 Performance comparison of the proposed CycleGAN with other SOTA deep generation models.
Fayez Alanazi (17508657) +6 more
core +1 more source
Generating Handwritten Chinese Characters Using CycleGAN [PDF]
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 Handwriting of Chinese has long been an important skill in East Asia. However, automatic generation of handwritten Chinese characters poses a great challenge due to the large number of characters. Various machine learning techniques have been used to recognize Chinese characters, but few works have studied the handwritten Chinese character generation ...
Bo Chang 0002 +3 more
openaire +3 more sources
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Global Precipitation Correction Across a Range of Climates Using CycleGAN
Geophysical Research LettersAccurate precipitation simulations for various climate scenarios are critical for understanding and predicting the impacts of climate change.
J. McGibbon +6 more
doaj +1 more source
Rice Leaf Disease Image Enhancement Based on Improved CycleGAN
智慧农业ObjectiveRice diseases significantly impact both the yield and quality of rice production. Automatic recognition of rice diseases using computer vision is crucial for ensuring high yields, quality, and efficiency.
YAN Congkuan +6 more
doaj +1 more source
Cyclone Intensity Estimate with Context-Aware Cyclegan [PDF]
2019 IEEE International Conference on Image Processing (ICIP), 2019 Deep learning approaches to cyclone intensity estimationhave recently shown promising results. However, sufferingfrom the extreme scarcity of cyclone data on specific in-tensity, most existing deep learning methods fail to achievesatisfactory performance on cyclone intensity estimation,especially on classes with few instances. To avoid the degra-dation
Yajing Xu +3 more
openaire +2 more sources