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Caltech-UCSD Birds 200
The Caltech-256 object category dataset is used for the feature extraction step, and the Omniglot dataset is used for the evaluation. -
PASCAL VOC2007
The PASCAL VOC2007 dataset is a benchmark for object detection and image classification. -
CIFAR-10/100 and Imagenette datasets
The dataset used in this paper is CIFAR-10/100 and Imagenette datasets. -
ImageNet-1K and MS COCO
The dataset used in the paper is ImageNet-1K and MS COCO. -
Spatially Attentive Output Layer for Image Classification
The proposed SAOL improves the performances of representative architectures for various tasks, with almost the same computational cost. Moreover, additional self-supervision... -
PatternNet, RSICD, RESISC45, MLRSNet, EuroSat
The dataset used in the paper is a remote sensing image classification dataset, which includes five optical remote sensing (RS) image classification benchmarks. -
Reading digits in natural images with unsupervised feature learning
The paper presents a method for reading digits in natural images using unsupervised feature learning. -
CIFAR-10, CIFAR-100, Tiny-Imagenet, and Imagenet datasets
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, Tiny-Imagenet, and Imagenet datasets. -
CIFAR-10, CelebA-HQ, LSUN-Church and LSUN-Bedrooms
The dataset used in this paper is CIFAR-10, CelebA-HQ, LSUN-Church and LSUN-Bedrooms. -
Cifar-10 and TinyImagenet
The dataset used in the paper is Cifar-10 and TinyImagenet. -
ImageNet, MS COCO, and Pascal VOC datasets
The dataset used in the paper is ImageNet, MS COCO, and Pascal VOC datasets. -
Spherical-MNIST, atomic energy, Shrec17, diffusion MRI
The dataset used in this paper for classification tasks on spherical-MNIST, atomic energy, Shrec17 data sets, and group testing on diffusion MRI data. -
RSNA-MICCAI Brain Tumor Radiogenomic Classification Challenge
The RSNA-MICCAI brain tumor radiogenomic classification challenge dataset is a dataset for predicting MGMT biomarker status in glioblastoma using mpMRI scans. -
MNIST and Fashion MNIST datasets
The MNIST dataset is a large dataset of handwritten digits, and the Fashion MNIST dataset is a similar dataset but with different styles. -
Oracle-MNIST
The Oracle-MNIST dataset is used to evaluate the proposed architecture for low-resolution image classification tasks. -
SVHN Dataset
The dataset used in the paper is a collection of images from the SVHN dataset, along with labels. The dataset is used for image classification. -
CIFAR-10 and CIFAR-100 Datasets
The CIFAR-10 and CIFAR-100 datasets are used to evaluate the performance of the commentaries curriculum. -
Oxford 102 Flowers
Oxford 102 Flowers is a dataset of images of different flower species.
