Cutout Augmentation

(7:5)

Improved Regularization of Convolutional Neural Networks with Cutout

(2:41)

Cutout \u0026 Random Erasing: Simplified Approaches to Data Augmentation

(4:21)

CutMix : Regularization Strategy to Train Strong Classifiers with Localizable features

(4:26)

Mixup Augmentation

(3:51)

Image Data Augmentation for Deep Learning

(10:28)

Negative Data Augmentation

(14:51)

Image Augmentation is AMAZING!

(59)

AugMax Explained!

(36:30)

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

(26:27)

DLFVC - 13 - Data Augmentation

(44:6)

MixUp augmentation for image classification - Keras Code Examples

(16:38)

Mosaic Data Augmentation - Deep Dive

(17:)

Preprocessing and Augmentation for Computer Vision

(24:24)

AutoAugment Learning Augmentation Policies from Data

(34:55)

Data Augmentation with Albumentations (Python Package)

(9:24)

Automated Image Augmentation for More Robust Computer Vision Models

(7:43)

Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

(4:38)

and data augmentation for deep learning

(7:51)

Training Efficient CNNs: Tweaking the Nuts and Bolts of CNNS for Lighter and Faster Models

(23:43)