23 datasets found

A dataset of images annotated with captions and semantic tuples, created by training a model to predict semantic tuples from image captions.

The Open Image Dataset (OID) is a large-scale image dataset that contains a diverse set of images.

The Image Segmentation dataset is used to evaluate the performance of the ensemble average rule.

The dataset used for cross-modal hashing task, containing image and text data.

The dataset used for cross-modal hashing task, containing image and text data.

The zero-shot semantic image editing dataset, which consists of a set of 150 tuples, each containing a source image, a source text, and a target text.

The VOC 2007 object detection dataset.

The dataset used in the paper is a 2D object detection dataset, where the authors investigate the issues of achieving sufficient rigor in the arguments for the safety of machine...

The dataset used for training and testing the proposed method for restoring a single face image distorted by atmospheric turbulence.

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The dataset used for training the image-to-video model consists of LAION COCO 600M and Webvid10M.

The dataset used for training the text-to-video model consists of 20 million videos and 600 million images.

The GoPro dataset is used for training, which contains 2103 pairs of blurred clear control images. The validation set used for training is 460 pairs of randomly divided images....

The dataset used in the paper is LAION-Aesthetic, a large-scale image dataset.

The KITTI360 dataset is used for evaluating the proposed Tuple-Circle loss function for cross-modality feature learning. The dataset consists of image and LiDAR scan pairs.

The DeepFashion dataset is a large-scale dataset for person image synthesis, containing 101,966 pairs of images with different poses and clothing.

Implicit neural representation, which expresses an image as a continuous function rather than a discrete grid form, is widely used for image processing. The dataset used in this...

The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

The dataset used for training the Vary-base model, containing natural image-text pairs.

The dataset used for training the new vision vocabulary network, containing high-resolution document and chart images with corresponding text.