SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11498-z
Abstract: Image sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data. This technique is of vital significance in enhancing the performance of downstream learning… read more here.
Keywords: image; similarity based; semantic similarity; small sample ... See more keywords
GAN-Based Image Augmentation for Finger-Vein Biometric Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960411
Abstract: Deep learning methods, and especially convolutional neural networks (CNNs), have made a considerable breakthrough in various fields of machine vision, basically by employing large-scale labeled databases. However, deep learning methods applied in finger-vein area are… read more here.
Keywords: image augmentation; finger vein; finger; cnn ... See more keywords
Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation
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DOI: 10.1371/journal.pone.0291217
Abstract: Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, interactions, and development of microorganisms. However, there exist limitations in both the… read more here.
Keywords: image augmentation; systematic review; cell microscopy;
Review of Image Augmentation Used in Deep Learning-Based Material Microscopic Image Segmentation
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DOI: 10.3390/app13116478
Abstract: The deep learning-based image segmentation approach has evolved into the mainstream of target detection and shape characterization in microscopic image analysis. However, the accuracy and generalizability of deep learning approaches are still hindered by the… read more here.
Keywords: image augmentation; image segmentation; augmentation; image ... See more keywords
Side-Scan Sonar Image Augmentation Method Based on CC-WGAN
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DOI: 10.3390/app14178031
Abstract: The utilization of deep learning algorithms for side-scan sonar target detection is impeded by the restricted quantity and representativeness of side-scan sonar (SSS) samples. To address this issue, this paper proposes a method for image… read more here.
Keywords: detection; method; scan sonar; side scan ... See more keywords
Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12071526
Abstract: We aimed to assess the effects of hyperparameter tuning and automatic image augmentation for deep learning-based classification of orthodontic photographs along the Angle classes. Our dataset consisted of 605 images of Angle class I, 1038… read more here.
Keywords: image augmentation; automatic image; classification; deep learning ... See more keywords