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 226–250 of 308 papers

TitleStatusHype
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
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
Improved Breast Cancer Diagnosis through Transfer Learning on Hematoxylin and Eosin Stained Histology Images—0
Hybrid GAN and Fourier Transformation for SAR Ocean Pattern Image AugmentationCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Parallel Grid Pooling for Data AugmentationCode0
Population Based Augmentation: Efficient Learning of Augmentation Policy SchedulesCode0
An Interpretable Deep Learning Approach for Skin Cancer CategorizationCode0
Beyond Random Augmentations: Pretraining with Hard ViewsCode0
Performance of GAN-based augmentation for deep learning COVID-19 image classificationCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image CaptioningCode0
Show:102550
← PrevPage 10 of 13Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified