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Animals with Attributes (AwA)
Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen... -
Caltech 101 Dataset and ILSVRC 2012 Dataset
The dataset used in the paper is the Caltech 101 Dataset and the ILSVRC 2012 Dataset. -
iNaturalist 2018 dataset
The dataset used in the paper is the iNaturalist 2018 dataset, which is a real-world large-scale imbalanced dataset. -
E-MNIST dataset
The E-MNIST dataset is a large dataset of handwritten digits, each image is 28x28 pixels and consists of 47 classes (0-9 and letters). -
K-MNIST dataset
The K-MNIST dataset is a large dataset of handwritten digits, each image is 28x28 pixels and consists of 10 classes (0-9). -
CIFAR10-LT
CIFAR10-LT: a long-tailed version of the CIFAR-10 dataset, where the training images are randomly removed class-wise to follow a pre-defined imbalance ratio. -
Trigger Detection Accuracy Dataset
The dataset used to test the trigger detection accuracy. -
Trigger Detector Dataset
The dataset used to train the trigger detector, generated from a public dataset through data augmentation. -
MNIST, CIFAR10, and CIFAR100 datasets
The dataset used in this paper is the MNIST, CIFAR10, and CIFAR100 datasets. -
ImageNet ILSVRC 2012 validation dataset
The ImageNet ILSVRC 2012 validation dataset is used to evaluate the proposed approach. -
Not specified
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine... -
MNIST Fashion and MNIST Handwritten digits
The dataset used in the paper is MNIST Fashion and MNIST Handwritten digits. -
miniImageNet, tieredImageNet, Caltech-USCD birds-200-2011
miniImageNet, tieredImageNet, Caltech-USCD birds-200-2011 -
Imagenette
The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data. -
Tiny ImageNet Visual Recognition Challenge
The Tiny-ImageNet dataset is a subset of the ImageNet dataset. -
Similarity Transfer for Knowledge Distillation
The proposed method aims to utilize the similarity correlation between different instances.