SOTAVerified

Image Augmentation

Image Augmentation is a data augmentation method that generates more training data from the existing training samples. Image Augmentation is especially useful in domains where training data is limited or expensive to obtain like in biomedical applications.

Source: Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing

( Image credit: Kornia )

Papers

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Showing 201–250 of 308 papers

TitleStatusHype
Semi-supervised object detection based on single-stage detector for thighbone fracture localization—0
Semmeldetector: Application of Machine Learning in Commercial Bakeries—0
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation—0
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation—0
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization—0
Slot Based Image Augmentation System for Object Detection—0
Spatially Visual Perception for End-to-End Robotic Learning—0
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images—0
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection—0
Synthetic Image Augmentation for Damage Region Segmentation using Conditional GAN with Structure Edge—0
Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks—0
Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations—0
Temperate Fish Detection and Classification: a Deep Learning based Approach—0
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network—0
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation—0
Towards Composable Distributions of Latent Space Augmentations—0
Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning—0
Towards Performance Improvement in Indian Sign Language Recognition—0
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms—0
USING OBJECT-FOCUSED IMAGES AS AN IMAGE AUGMENTATION TECHNIQUE TO IMPROVE THE ACCURACY OF IMAGE-CLASSIFICATION MODELS WHEN VERY LIMITED DATA SETS ARE AVAILABLE—0
River Surface Patch-wise Detector Using Mixture Augmentation for Scum-cover-index—0
Wind Turbine Blade Surface Damage Detection based on Aerial Imagery and VGG16-RCNN Framework—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
Yelp Food Identification via Image Feature Extraction and Classification—0
Hierarchical Attention-based Age Estimation and Bias Estimation—0
High-resolution medical image synthesis using progressively grown generative adversarial networks—0
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?—0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
Image Augmentation for Satellite Images—0
Image augmentation improves few-shot classification performance in plant disease recognition—0
Image Augmentations for GAN Training—0
Image Augmentation using Radial Transform for Training Deep Neural Networks—0
Image augmentation with conformal mappings for a convolutional neural network—0
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation—0
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World—0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Selective Volume Mixup for Video Action RecognitionCode0
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image GeneratorsCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Albumentations: fast and flexible image augmentationsCode0
Hybrid GAN and Fourier Transformation for SAR Ocean Pattern Image AugmentationCode0
Augmentor: An Image Augmentation Library for Machine LearningCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Beyond Random Augmentations: Pretraining with Hard ViewsCode0
Parallel Grid Pooling for Data AugmentationCode0
Population Based Augmentation: Efficient Learning of Augmentation Policy SchedulesCode0
An Interpretable Deep Learning Approach for Skin Cancer CategorizationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified