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 51–100 of 308 papers

TitleStatusHype
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsCode1
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
Can AI help in screening Viral and COVID-19 pneumonia?Code1
Learn to Augment: Joint Data Augmentation and Network Optimization for Text RecognitionCode1
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network PerformanceCode1
Kornia: an Open Source Differentiable Computer Vision Library for PyTorchCode1
Implicit Semantic Data Augmentation for Deep NetworksCode1
Adversarial Policy Gradient for Deep Learning Image AugmentationCode1
Learning Data Augmentation Strategies for Object DetectionCode1
Fast AutoAugmentCode1
Unsupervised Data Augmentation for Consistency TrainingCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
rQdia: Regularizing Q-Value Distributions With Image Augmentation—0
GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models—0
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention—0
Camera-based method for the detection of lifted truck axles using convolutional neural networks—0
Automated Detection of Salvin's Albatrosses: Improving Deep Learning Tools for Aerial Wildlife Surveys—0
Fault Detection Method for Power Conversion Circuits Using Thermal Image and Convolutional Autoencoder—0
Language-Driven Dual Style Mixing for Single-Domain Generalized Object DetectionCode0
Batch Augmentation with Unimodal Fine-tuning for Multimodal LearningCode0
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled DataCode0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Diffusion Models for Robotic Manipulation: A Survey—0
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
Enhancing Pavement Crack Classification with Bidirectional Cascaded Neural Networks—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
Semi-supervised Semantic Segmentation with Multi-Constraint Consistency LearningCode0
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis—0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations—0
A framework for river connectivity classification using temporal image processing and attention based neural networks—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Multi-visual modality micro drone-based structural damage detection—0
deepTerra -- AI Land Classification Made Easy—0
Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance RecognitionCode0
Image Augmentation Agent for Weakly Supervised Semantic Segmentation—0
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations—0
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image EnhancementCode0
SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation—0
Hybrid GAN and Fourier Transformation for SAR Ocean Pattern Image AugmentationCode0
BGM: Background Mixup for X-ray Prohibited Items Detection—0
Enhancing weed detection performance by means of GenAI-based image augmentation—0
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts—0
Spatially Visual Perception for End-to-End Robotic Learning—0
CIA: Controllable Image Augmentation Framework Based on Stable DiffusionCode0
Isometric Transformations for Image Augmentation in Mueller Matrix PolarimetryCode0
A Novel Breast Ultrasound Image Augmentation Method Using Advanced Neural Style Transfer: An Efficient and Explainable Approach—0
SRA: A Novel Method to Improve Feature Embedding in Self-supervised Learning for Histopathological Images—0
Few-shot target-driven instance detection based on open-vocabulary object detection models—0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified