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Fruits-360 dataset
A new and complex database of images with fruits. Also, some numerical experiments by using TensorFlow library in order to classify the images according to their content. -
Waterbirds
Dataset bias is a significant problem in training fair classifiers. When attributes unrelated to classification exhibit strong biases towards certain classes, classifiers... -
Stanford-Cars, Oxford-Flowers102, Oxford-IIIT Pets, FGVC Aircraft, CIFAR-10 d...
Stanford-Cars, Oxford-Flowers102, Oxford-IIIT Pets, FGVC Aircraft, CIFAR-10 datasets. -
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. -
CIFAR-10, CIFAR-100
CIFAR-10 and CIFAR-100 are standard vision datasets with 50,000 training images across 10 and 100 classes, respectively. -
Multi-label Transformer
The proposed Multi-label Transformer architecture is designed for multi-label image classification, combining pixel attention and cross-window attention to better excavate the... -
ImageNet-32
The ImageNet-32 dataset is a subset of the ImageNet dataset, containing 1,281,167 training samples and 50,000 test samples, distributed across 1,000 labels. -
CIFAR10 and ImageNet
The dataset used in the paper to evaluate the alignment of deep neural networks with human perception. -
ImageNet: A Large-Scale Hierarchical Image Database
The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories. -
TinyImageNet
The dataset used for the experiments of the paper "CORE-PERIPHERY PRINCIPLE GUIDED REDISIGN OF SELF-ATTENTION IN TRANSFORMERS" -
Traffic Signs dataset
The Traffic Signs dataset contains 39252 training images in 43 classes. -
Binarized MNIST
We use the preprocessed binarized MNIST dataset from [49] which has a split of 50k/10k/10k. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
CIFAR-100 and ImageNet
The dataset used in the paper is CIFAR-100 and ImageNet.
