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Advanced Image data augmentations taxonomy-wise code

Basic Image Data Augmentations

Image manipulation

Geometric Image Augmentation

Rotation
Translation
Shearing

Non-Geometric Augmentation

Flipping
Cropping and resizing
Noise Injection
Color Space
Jitter
Kernel Filter

Image Erasing

Cutout
Random erasing
Hide-and-Seek
GridMask

Advanced Image Data Augmentations

Image Mixing

Single Image

Local Augment
Self-Augmentation
SalfMix
KeepAugment
You Only Cut Once
Cut-Thumbnail
Smart Augmentation

Multi-Images

Mixup
CutMix
SaliencyMix
RSMDA
Puzzle Mix
SnapMix
FMix
MixMo
StyleMix
RandomMix
MixMatch
ReMixMatch
FixMatch
AugMix
Simple Copy-Paste
Improved Mixed-Example Data Augmentation
Random image cropping and patching
Cutblur
ResizeMix
ClassMix
Context Decoupling Augmentation
ObjectAug

Automatic augmentation

Reinforcement learning based

Auto Augment
Fast AutoAugment
Faster AutoAugment
Reinforcement Learning with Augmented Data
Local Patch AutoAugment
Learning Data Augmentation Strategies for Object Detection
Scale-aware Automatic Augmentation for Object Detection

Non-Reinforcement learning based

RandAugment
RangeAugment
Adversarial Data Augmentation for Object Detection
Deep CNN Ensemble with Data Augmentation for Object Detection
Perspective Transformation Data Augmentation for Object Detection
Deep Adversarial Data Augmentation for Extremely Low Data Regimes

Feature augmentation

Feature-based augmentation

FeatMatch
Dataset Augmentation in Feature Space
Feature Space Augmentation for Long-Tailed Data
Adversarial Feature Augmentation
Understanding data augmentation for classification: when to warp

Neural Style transfer

Neural trasferable style

Data Augmentation via Style Randomization
Style-Transfer Data Augmentation
A Neural Algorithm of Artistic Style

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Code of the all the data augmentation [ Based on our survey, that will soon be published ]

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