RandAugment Explained!

Connor Shorten

RandAugment Explained!

6 years ago - 8:15

RandAugment Paper Walkthrough

Aladdin Persson

RandAugment Paper Walkthrough

5 years ago - 13:11

RandAugment | Lecture 17 (Part 1) | Applied Deep Learning (Supplementary)

Maziar Raissi

RandAugment | Lecture 17 (Part 1) | Applied Deep Learning (Supplementary)

3 years ago - 10:32

RandAugment Practical automated data augmentation with a reduced search space

Launchpad

RandAugment Practical automated data augmentation with a reduced search space

5 years ago - 12:00

Why RandAugment is the best Data Augmentation technique

Devansh: Chocolate Milk Cult Leader

Why RandAugment is the best Data Augmentation technique

5 years ago - 4:59

AutoAugment

Connor Shorten

AutoAugment

6 years ago - 3:54

Augmenting image data with Keras CV

TensorFlow

Augmenting image data with Keras CV

1 year ago - 4:13

AugMax Explained!

Connor Shorten

AugMax Explained!

4 years ago - 36:30

Differentiable RandAugment Learning Selecting Weights and Magnitude Distributions of Image Transform

OKOK Projects in PHP

Differentiable RandAugment Learning Selecting Weights and Magnitude Distributions of Image Transform

2 years ago - 0:46

DLFVC - 13 - Data Augmentation

Peter Wonka Research

DLFVC - 13 - Data Augmentation

5 years ago - 44:06

Easy Data Augmentation for Text Classification

Connor Shorten

Easy Data Augmentation for Text Classification

5 years ago - 15:32

AutoAugment | Lecture 16 (Part 4) | Applied Deep Learning (Supplementary)

Maziar Raissi

AutoAugment | Lecture 16 (Part 4) | Applied Deep Learning (Supplementary)

3 years ago - 11:15

Rethinking Pre training and Self training

AMiner

Rethinking Pre training and Self training

5 years ago - 1:03

Text data augmentation with PyTorch datasets

Dillon Niederhut

Text data augmentation with PyTorch datasets

5 years ago - 5:19

Methods for Improving Spatial Invariance of Convolutional Neural Networks for Image Classification

d noel

Methods for Improving Spatial Invariance of Convolutional Neural Networks for Image Classification

1 year ago - 20:13

[연구원의 AI 논문리뷰] RandAugment: Practical data augmentation with no separate search

LAON PEOPLE INC.

[연구원의 AI 논문리뷰] RandAugment: Practical data augmentation with no separate search

5 years ago - 13:54

Data Augmentation for Object Detection

Bits Of Deep Learning

Data Augmentation for Object Detection

5 years ago - 14:18

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

Connor Shorten

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

4 years ago - 26:27

Yaoshiang Ho on Masterful AI - Weaviate Podcast #22

Weaviate vector database

Yaoshiang Ho on Masterful AI - Weaviate Podcast #22

3 years ago - 57:46

CutMix : Regularization Strategy to Train Strong Classifiers with Localizable features

김도현

CutMix : Regularization Strategy to Train Strong Classifiers with Localizable features

5 years ago - 4:26

TrivialAugment- Tuning-free yet SOTA Data Augmentation. Machine Learning Made Simple. Devansh

Devansh: Chocolate Milk Cult Leader

TrivialAugment- Tuning-free yet SOTA Data Augmentation. Machine Learning Made Simple. Devansh

3 years ago - 11:15

A group-theoretic framework for data augmentation - Jane H Lee,

Workshop on Equivariance and Data Augmentation

A group-theoretic framework for data augmentation - Jane H Lee,

5 years ago - 22:13

Training GANs with Limited Data

Connor Shorten

Training GANs with Limited Data

5 years ago - 15:06

Unsupervised Data Augmentation

Connor Shorten

Unsupervised Data Augmentation

6 years ago - 8:38

Distribution Augmentation for Generative Modeling

Connor Shorten

Distribution Augmentation for Generative Modeling

5 years ago - 19:07

MLRCV: Building CNNs (Summer 2021)

Jens Behley

MLRCV: Building CNNs (Summer 2021)

4 years ago - 1:00:06

Stride Random Erasing Augmentation

Computer Science & IT Conference Proceedings

Stride Random Erasing Augmentation

4 years ago - 14:03

How Google beat everyone in Image classification while using fewer resources

Devansh: Chocolate Milk Cult Leader

How Google beat everyone in Image classification while using fewer resources

3 years ago - 3:47

How did Researchers at Google Beat Huge Image Classification Networks using Semi Supervised Learning

Devansh: Chocolate Milk Cult Leader

How did Researchers at Google Beat Huge Image Classification Networks using Semi Supervised Learning

4 years ago - 13:46

Make Neural Networks Better using this technique. Dropout Introduced. Machine Learning Terms.

Devansh: Chocolate Milk Cult Leader

Make Neural Networks Better using this technique. Dropout Introduced. Machine Learning Terms.

4 years ago - 0:57

Barret Zoph - Neural Architecture Search and Beyond

Samuel Albanie's Miscellany

Barret Zoph - Neural Architecture Search and Beyond

3 years ago - 35:38

Improve your Machine Learning Models without overfitting. Data Augmentation Introduced.

Devansh: Chocolate Milk Cult Leader

Improve your Machine Learning Models without overfitting. Data Augmentation Introduced.

4 years ago - 0:58

【点论文】201 RandAugument and CutOut

ThinkNotClearzh

【点论文】201 RandAugument and CutOut

3 years ago - 13:56

150 - Warning about keras' data augmentation when working with categorical labels

DigitalSreeni

150 - Warning about keras' data augmentation when working with categorical labels

5 years ago - 10:59

Mikhail Druzhinin: Open Data Science Open Source. Albumentations

ODS AI Global

Mikhail Druzhinin: Open Data Science Open Source. Albumentations

5 years ago - 6:48

Vision Transformers Explained: The Future of Computer Vision

AI Study Hub

Vision Transformers Explained: The Future of Computer Vision

7 months ago - 4:10

SimGAN Explained

Connor Shorten

SimGAN Explained

6 years ago - 3:14

Beyond Random Crops: AI Learns to Augment

Hossam Magdy Balaha

Beyond Random Crops: AI Learns to Augment

5 months ago - 2:35

Self-training with Noisy Student improves ImageNet classification (Paper Explained)

Yannic Kilcher

Self-training with Noisy Student improves ImageNet classification (Paper Explained)

5 years ago - 40:35

Adversarial Propagation (AdvProp)

Connor Shorten

Adversarial Propagation (AdvProp)

6 years ago - 9:42

Realistic adversarial data augmentation for MR image segmentation

Chen Chen

Realistic adversarial data augmentation for MR image segmentation

4 years ago - 9:44

MIDL 2021, I12, Faryna et. al., Full Paper

MIDL Society

MIDL 2021, I12, Faryna et. al., Full Paper

4 years ago - 5:58

Unsupervised Data Augmentation

Connor Shorten

Unsupervised Data Augmentation

6 years ago - 8:38

Automatic Shortcut Removal for Self-Supervised Learning

Connor Shorten

Automatic Shortcut Removal for Self-Supervised Learning

5 years ago - 15:36

How Convolutions Read an Image

Insightforge | AI & Data Science

How Convolutions Read an Image

1 day ago - 0:27

[DMQA Open Seminar] Data Augmentation

‍김성범[ 교수 / 산업경영공학부 ]

[DMQA Open Seminar] Data Augmentation

5 years ago - 18:47

This library will save you time and money #shorts

Ben Adam

This library will save you time and money #shorts

3 years ago - 0:26

StyleGANv2 Explained!

Connor Shorten

StyleGANv2 Explained!

6 years ago - 17:13

Reformer: The Efficient Transformer

Connor Shorten

Reformer: The Efficient Transformer

6 years ago - 14:04

DeiT - Data-efficient image transformers & distillation through attention (paper illustrated)

AI Bites

DeiT - Data-efficient image transformers & distillation through attention (paper illustrated)

5 years ago - 10:22

5.5 Coding our CustomDataGenerator with ImgAug - Get Images Randomly from File

Makine Öğrenmesi

5.5 Coding our CustomDataGenerator with ImgAug - Get Images Randomly from File

6 years ago - 18:56

Lexical Data Augmentation for TextClassification in Deep Learning

Canadian Conference on Artificial Intelligence

Lexical Data Augmentation for TextClassification in Deep Learning

5 years ago - 10:46

ConvNeXt: A ConvNet for the 2020s

AI Bites

ConvNeXt: A ConvNet for the 2020s

4 years ago - 11:19

Deep Learning - Lecture 5.5 (Regularization: Data Augmentation)

Tübingen Machine Learning

Deep Learning - Lecture 5.5 (Regularization: Data Augmentation)

5 years ago - 30:38

Meta Pseudo Labels

Connor Shorten

Meta Pseudo Labels

5 years ago - 17:52

Self-Training with Noisy Student (87.4% ImageNet Top-1 Accuracy!)

Connor Shorten

Self-Training with Noisy Student (87.4% ImageNet Top-1 Accuracy!)

6 years ago - 8:57

FixMatch

Connor Shorten

FixMatch

6 years ago - 18:10

90FOV 454Dataset 100Epochs yolo8m

lucas Gaggino

90FOV 454Dataset 100Epochs yolo8m

1 year ago - 2:11

90FOV 454Dataset 20Epochs yolo8m

lucas Gaggino

90FOV 454Dataset 20Epochs yolo8m

1 year ago - 2:11