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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 308 papers

TitleStatusHype
A Comparative Study on Efficiencies of Variants of Convolutional Neural Networks based on Image Classification TaskCode0
Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer SensorsCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
An Interpretable Deep Learning Approach for Skin Cancer CategorizationCode0
Isometric Transformations for Image Augmentation in Mueller Matrix PolarimetryCode0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
Parallel Grid Pooling for Data AugmentationCode0
Improving Fairness using Vision-Language Driven Image AugmentationCode0
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image AugmentationCode0
Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairingCode0
Augmentor: An Image Augmentation Library for Machine LearningCode0
Improved Mixed-Example Data AugmentationCode0
DenseNet Models for Tiny ImageNet ClassificationCode0
ANDA: A Novel Data Augmentation Technique Applied to Salient Object DetectionCode0
Hybrid GAN and Fourier Transformation for SAR Ocean Pattern Image AugmentationCode0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Population Based Augmentation: Efficient Learning of Augmentation Policy SchedulesCode0
Data Augmentation via Levy ProcessesCode0
Beyond Random Augmentations: Pretraining with Hard ViewsCode0
Data Augmentation using Random Image Cropping and Patching for Deep CNNsCode0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Few-Shot Learning for Image Classification of Common FloraCode0
Show:102550
← PrevPage 4 of 13Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified