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 201–250 of 308 papers

TitleStatusHype
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network—0
Pneumonia Detection in Chest X-Rays using Neural Networks—0
Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer SensorsCode0
Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints—0
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms—0
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network—0
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration—0
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening—0
A Data-Driven Approach to Improve 3D Head-Pose Estimation—0
SAC-GAN: Structure-Aware Image CompositionCode0
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image AugmentationCode0
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video—0
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce—0
Document Layout Analysis with Aesthetic-Guided Image Augmentation—0
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets—0
Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels—0
Attention W-Net: Improved Skip Connections for better Representations—0
A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks—0
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge—0
Aug-ILA: More Transferable Intermediate Level Attacks with Augmented References—0
FitVid: High-Capacity Pixel-Level Video Prediction—0
Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge—0
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image CaptioningCode0
Wind Turbine Blade Surface Damage Detection based on Aerial Imagery and VGG16-RCNN Framework—0
Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box TrainingCode0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Compound Figure Separation of Biomedical Images with Side LossCode0
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation—0
Survey: Image Mixing and Deleting for Data AugmentationCode0
Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation—0
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation—0
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture—0
Few-Shot Learning for Image Classification of Common FloraCode0
Neural Networks for Semantic Gaze Analysis in XR Settings—0
Hierarchical Attention-based Age Estimation and Bias Estimation—0
Reweighting Augmented Samples by Minimizing the Maximal Expected LossCode0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations—0
On the Impact of Interpretability Methods in Active Image Augmentation Method—0
Random Transformation of Image Brightness for Adversarial AttackCode0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—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
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays—0
Evaluating GAN-Based Image Augmentation for Threat Detection in Large-Scale Xray Security Images—0
Sparse Signal Models for Data Augmentation in Deep Learning ATRCode0
Towards Performance Improvement in Indian Sign Language Recognition—0
Application of Facial Recognition using Convolutional Neural Networks for Entry Access ControlCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified