14 datasets found

The dataset used in the paper is Flickr30K and MSCOCO, which are used for image-text matching and image captioning tasks.

The dataset used in the paper is Stacked Cross Attention for Image-Text Matching.

The ReasonSeg dataset is a benchmark for reasoning segmentation tasks, which demands a nuanced comprehension of intricate queries to accurately pinpoint object regions.

The dataset used in the paper for zero-shot referring expression comprehension task

The Language Models with Image Descriptors dataset, which is used for evaluating the performance of the InstructVid2Vid model.

A dataset for visual spatial relationship classification (VSRC) with nine well-defined spatial relations.

The Flickr30K Entities dataset consists of 31,783 images each matched with 5 captions. The dataset links distinct sentence entities to image bounding boxes, resulting in 70K...

The ALADIN dataset is a custom dataset created for the ALADIN paper.

Visual Question Answering (VQA) has achieved great success thanks to the fast development of deep neural networks (DNN). On the other hand, the data augmentation, as one of the...

The Compositional Visual Genome (ComVG) dataset is a reconstructed dataset of the Visual Genome (Krishna et al., 2017) dataset, containing 108,007 images annotated with 2.3...

The RefCOCOg dataset is a reconstructed dataset of the MS-COCO dataset, containing 85,474 referring expressions for 54,822 objects in 26,711 images.

The Flickr30k dataset is widely utilized for image caption and image-text retrieval tasks, providing a substantial collection of images with associated captions.

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...

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...