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 176–200 of 308 papers

TitleStatusHype
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
GANSeg: Learning to Segment by Unsupervised Hierarchical Image GenerationCode1
Document Layout Analysis with Aesthetic-Guided Image Augmentation—0
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in VideoCode1
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
Data Augmentation for Scene Text RecognitionCode1
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
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
Compound Figure Separation of Biomedical Images with Side LossCode0
FitVid: Overfitting in Pixel-Level Video PredictionCode1
Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified