10 datasets found

The dataset used in the paper for attention-oriented data analysis and attention-based adversarial defense.

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset containing over 14 million images from 21,841 categories.

This dataset is used to evaluate the performance of a Convolutional Neural Network (CNN) on the ImageNet Large Scale Visual Recognition Challenge (ILSVRC2012).

This dataset is used to evaluate the performance of a Convolutional Neural Network (CNN) on the ImageNet Large Scale Visual Recognition Challenge (ILSVRC2012).

The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories.

A dataset of ImageNet images with subtle 3D perspective changes that can break ImageNet-trained classification networks.

The dataset used in the paper is the Imagenet dataset, which is a large annotated dataset of images used for image classification tasks.

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...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a...