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 251–300 of 308 papers

TitleStatusHype
Genetic Learning for Designing Sim-to-Real Data AugmentationsCode0
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
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-trainingCode0
Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box TrainingCode0
ANDA: A Novel Data Augmentation Technique Applied to Salient Object DetectionCode0
Few-Shot Learning for Image Classification of Common FloraCode0
Semi-supervised Semantic Segmentation with Multi-Constraint Consistency LearningCode0
Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairingCode0
Improved Mixed-Example Data AugmentationCode0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Policy Gradient-Driven Noise MaskCode0
Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation TrainingCode0
Improving Fairness using Vision-Language Driven Image AugmentationCode0
Three things everyone should know to improve object retrievalCode0
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image AugmentationCode0
Efficient Method for Categorize Animals in the WildCode0
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled DataCode0
Domain Generalization with Fourier Transform and Soft ThresholdingCode0
A Comparative Study on Efficiencies of Variants of Convolutional Neural Networks based on Image Classification TaskCode0
CIA: Controllable Image Augmentation Framework Based on Stable DiffusionCode0
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?Code0
Isometric Transformations for Image Augmentation in Mueller Matrix PolarimetryCode0
Discrete Wavelet Transform for Generative Adversarial Network to Identify Drivers Using Gyroscope and Accelerometer SensorsCode0
DenseNet Models for Tiny ImageNet ClassificationCode0
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image SegmentationCode0
Language-Driven Dual Style Mixing for Single-Domain Generalized Object DetectionCode0
Application of Facial Recognition using Convolutional Neural Networks for Entry Access ControlCode0
Random Transformation of Image Brightness for Adversarial AttackCode0
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and EstimationCode0
Data Augmentation via Levy ProcessesCode0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance RecognitionCode0
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification TasksCode0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Learning to Compose Domain-Specific Transformations for Data AugmentationCode0
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image EnhancementCode0
Data Augmentation using Random Image Cropping and Patching for Deep CNNsCode0
A machine-generated catalogue of Charon's craters and implications for the Kuiper beltCode0
Sparse Signal Models for Data Augmentation in Deep Learning ATRCode0
Long Tail Image Generation Through Feature Space Augmentation and Iterated LearningCode0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised LearningCode0
Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data SynthesisCode0
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image DeformationsCode0
Reweighting Augmented Samples by Minimizing the Maximal Expected LossCode0
Zero-Shot Learning by Harnessing Adversarial SamplesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AugstaticBalanced Accuracy0—Unverified