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SUN Attribute
The dataset used in the paper is SUN Attribute, which consists of 717 classes of images with annotations. -
COVID-Xray-5k
Four COVID-19 CT and X-ray image datasets used for COVID-19 detection -
COVID X-ray
Four COVID-19 CT and X-ray image datasets used for COVID-19 detection -
COVID19-CT
Four COVID-19 CT and X-ray image datasets used for COVID-19 detection -
SARS-COV-2 CT
Four COVID-19 CT and X-ray image datasets used for COVID-19 detection -
Watermark Dataset
A dataset for image watermark removal -
DataTypeIdentification
Two novel datasets for visual data-type identification, consisting of images of animals altered across a diverse set of 27 visual data-types, spanning four broad categories. -
CelebA, FFHQ, and Teapots
CelebA, FFHQ, and Teapots datasets for image generation. -
Multimodal Categorization Task
The dataset used in the paper is a multimodal categorization task using image data and speech signals. -
Kennedy Space Center
A hyperspectral image dataset with 4 classes, captured over the Kennedy Space Center, FL, by the NASA AVIRIS instrument. -
Stanford40 and HII datasets
The Stanford40 and HII datasets are used for image recognition. The Stanford40 dataset contains 40 action categories, while the HII dataset contains 10 action images. -
Self-built SAR aircraft sliced dataset and large scene SAR image
A self-built SAR aircraft sliced dataset and a large scene SAR image are collected for investigating the detection performance of our method in the experiments.