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Visual Genome Relationship Dataset
The Visual Genome Relationship Dataset contains 108,077 images and 1,531,448 relationships. -
Visual Relationship Dataset
The Visual Relationship Dataset contains 5000 images with 100 object categories and 70 predicates. -
Tecnick dataset
The Tecnick dataset is a dataset of 10 images, each with a size of 512x512 pixels. -
CIFAR10 dataset
The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class. -
COCO Stuff
COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks. -
Kodak PhotoCD dataset
The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images. -
Mugshot dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
CAS-PEAL-R1 dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Teapot dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Square dataset
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Dual Swap Disentangling
The dataset used in the paper is a wide domain image dataset, and the authors propose a weakly semi-supervised method for disentangling using both labeled and unlabeled data. -
Visual Genome
The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.