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ImageNet-C
The dataset used in the paper is the ImageNet-C dataset, which is a dataset of images corrupted with various types of noise and occlusions. -
MobileNetV2
The dataset used in this paper is a MobileNetV2 model, which is a type of deep neural network. The dataset is used to evaluate the performance of the proposed heterogeneous system. -
Objects365
The Objects365 dataset is a large-scale object detection dataset containing 365,000 images with 365 categories. -
PASCAL VOC and MS COCO
PASCAL VOC and MS COCO datasets were used for training. -
Vision Reservoir computing (ViR) for image classification
The Vision Reservoir (ViR) is a novel model for image classification, which treats the image as a sequence of pixel patches. The sequences are then processed by using a... -
Synthetic Dataset
The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs... -
LabelMe dataset
The LabelMe dataset is a natural scene dataset used for testing the performance of the IBTM model on image classification tasks. -
Street View House Number (SVHN) dataset
The Street View House Number (SVHN) dataset consists of 32x32 RGB images of house numbers captured from Google Street View. -
OpenImagesV4
Object proposal generation models: We study how a detection model trained on a small set of source classes can provide proposals that generalize to unseen object classes. -
MobileNetV3 dataset
The MobileNetV3 dataset is a dataset for image classification. -
ILSVRC-2012
A 1k classes classification task with 1.2M training examples and 50k validation examples. The examples are colour images of various sizes. -
Caltech 101 Silhouette dataset
The Caltech 101 Silhouette dataset is a collection of images of silhouettes. -
Office-Home, Office-31, and DomainNet
Office-Home, Office-31, and DomainNet are benchmark datasets for semi-supervised domain adaptation. -
Stanford Dogs
Fine-Grained Visual Classification (FGVC) is an important computer vision prob-lem that involves small diversity within the different classes, and often requires expert... -
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Class...
Medical image analysis is a hot research topic because of its usefulness in different clinical applications, such as early disease diagnosis and treatment. Convolutional neural... -
Places365-Standard
The dataset used for the Places365-Standard OOD detection task. -
CIFAR-100 vs CIFAR-10
The dataset used for the CIFAR-100 vs CIFAR-10 OOD detection task.
