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A simple data mixing prior for improving self-supervised learning
A simple data mixing prior for improving self-supervised learning. -
i-mix: A domain-agnostic strategy for contrastive representation learning
A simple framework for contrastive learning of visual representations. -
ciFAIR-100 and ciFAIR-10
ciFAIR-100 and ciFAIR-10 are two datasets created to mimic learning with limited labels. -
Infinite Class Mixup
Mixup is a widely adopted strategy for training deep networks, where additional samples are augmented by interpolating inputs and labels of training pairs. Mixup has shown to... -
CNN-based transfer learning–Bilstm network dataset
The CNN-based transfer learning–Bilstm network dataset is a dataset of COVID-19 images for image classification. -
COVID-ResNet dataset
The COVID-ResNet dataset is a dataset of COVID-19 images for image classification. -
COVID-19 features on CXR dataset
The COVID-19 features on CXR dataset is a dataset of COVID-19 images for image classification. -
COVID-Net dataset
The COVID-Net dataset is a dataset of COVID-19 images for image classification. -
COVIDx dataset
The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification. -
TiCC dataset
The TiCC dataset is a dataset of handwritten digits. -
PASCAL VOC 2007
Multi-label image recognition is a practical and challenging task compared to single-label image classification. -
Cifar-10 and Cifar-100
The dataset used in the paper is Cifar-10 and Cifar-100, which are commonly used datasets for image classification tasks. -
PicAlert Dataset
This dataset contains Flickr images on various subjects, which are manually labeled as public or private by external viewers. -
CIFAR-10, CIFAR-100, Tiny ImageNet, SVHN, iSUN, LSUN
CIFAR-10, CIFAR-100, Tiny ImageNet, SVHN, iSUN, LSUN
