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Digits-DG dataset
The Digits-DG dataset contains 4 datasets: MNIST, MNIST-M, SVHN, and SYN. -
OfficeHome dataset
The OfficeHome dataset contains 15,500 images of 65 classes from four domains: Art, Clipart, Product, and Real-World. -
PACS, OfficeHome, and Digits-DG datasets
The dataset used for domain generalization, including PACS, OfficeHome, and Digits-DG datasets. -
Oxford-IIIT Pets
A dataset of 9,500 256x256 color images of 20 animal breeds. -
CIFAR10 and SVHN datasets
The dataset used in the paper is the CIFAR10 and SVHN datasets, which are used to evaluate the performance of the robust models. -
CEs dataset
The dataset used in the paper is a counterfactual examples (CEs) dataset, which is generated using a diffusion model. The dataset consists of images from the CIFAR10 and SVHN... -
Custom Dataset for Fine-tuning Open-sourced Models
The dataset used in this paper is a custom dataset generated for fine-tuning open-sourced models. -
CIFAR-10 and ImageNet-2012
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-10 and ImageNet-2012 datasets. -
SUN Attribute
The dataset used in the paper is SUN Attribute, which consists of 717 classes of images with annotations. -
Health MNIST
The MNIST dataset is a dataset of handwritten digits. -
Open Images V5
A dataset for unified image classification, object detection, and visual relationship detection, consisting of 9.2 million images. -
MS COCO val2017 dataset
The dataset used in this paper is the MS COCO val2017 dataset, which is a subset of the MS COCO dataset used for validation. -
Intel-Mobile ODT cervical image classification dataset
The dataset used for training and validation of the proposed method for detecting cervical pathology in colposcopy images. -
Auto-WCEBleedGen Challenge V1 2023
Auto-WCEBleedGen Challenge V1 2023 dataset for Wireless Capsule Endoscopy bleeding frame classification and detection -
Auto-WCEBleedGen Challenge V2 2024
Auto-WCEBleedGen Challenge V2 2024 dataset for Wireless Capsule Endoscopy bleeding frame classification and detection -
Caltech-UCSD Birds (CUB) dataset
The Caltech-UCSD Birds (CUB) dataset is a fine-grained visual classification dataset containing 200 classes of birds. -
EfficientNet
The EfficientNet dataset contains 21k training images and 8k testing images. -
Exit-Ensemble Distillation
This paper proposes a novel knowledge distillation-based learning method to improve the classification performance of convolutional neural networks (CNNs) without a pre-trained...
