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ILSVRC2011 dataset
The ILSVRC2011 dataset is a large-scale image classification dataset. -
Caltech-UCSD Birds-200-2011 Dataset
The Caltech-UCSD Birds-200-2011 Dataset consists of 11,169 bird images from 200 categories and each category has 60 images averagely. -
Monkeypox Skin Lesion Dataset (MSLD)
The Monkeypox Skin Lesion Dataset (MSLD) is a dataset used for the classification of human monkeypox disease from skin lesion images. -
PATCHCAMELYON
The dataset is used for testing the proposed GE-ViT model. -
Synthetic toy dataset
A synthetic toy dataset of square images of n = 4 pixels, where each pixel takes values between 0 and 255 in grayscale. -
NUS-WIDE dataset
The NUS-WIDE dataset is a large-scale image-text dataset, which is suitable for feature-partitioned collaborative learning. The dataset contains 100,000 images with 1000 text... -
ImageNet 2012
The ImageNet 2012 dataset is used to evaluate the performance of the proposed neural network decoupling approach on large-scale image classification tasks. -
Channel Pruning via Multi-Criteria based on Weight Dependency
Channel pruning has demonstrated its effectiveness in compressing ConvNets. In many related arts, the importance of an output feature map is only determined by its associated... -
CIFAR Dataset
Object recognition is arguably the most important problem at the heart of computer vision. Recently, Barbu et al. introduced a dataset called ObjectNet which includes objects in... -
ImageNet with VGG16
The dataset used in the paper is ImageNet with pre-trained VGG16 model. -
Microsoft COCO: common objects in context
The COCO dataset is a large-scale dataset for object detection and image classification. -
Linley et al. (2014) - Microsoft COCO
Linley et al. (2014) - Microsoft COCO -
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metri...
Deep metric learning (DML) methods typically leverage solely class labels to keep positive samples far away from negative ones. However, this type of method normally ignores the... -
Fashion MNIST dataset
The Fashion MNIST dataset is a large dataset of fashion images, each image is a 28x28 grayscale image, and there are 60,000 training images, 10,000 validation images, and 10,000... -
ImageNet and Cifar10
The dataset used for the ImageNet benchmark and the Cifar10 benchmark. -
Stanford-Cars, Oxford-Flowers102, Oxford-IIIT Pets, FGVC Aircraft, CIFAR-10 d...
Stanford-Cars, Oxford-Flowers102, Oxford-IIIT Pets, FGVC Aircraft, CIFAR-10 datasets. -
Human Protein Atlas Image Classification Challenge
The Human Protein Atlas Image Classification Challenge dataset was used for training the model. The dataset contains images of microtubules, nucleus, proteins, and endoplasmic... -
Transform Quantization for CNN Compression
The dataset used in this paper is a collection of convolutional neural network (CNN) weights, which are compressed using transform quantization.
