8 datasets found

Rel3D is a large-scale dataset of human-annotated spatial relations in 3D. It consists of spatial relations situated in synthetic 3D scenes, making it possible to extract rich...

The dataset used for training the Chat-UniVi model.

The VASR dataset is a large-scale visual analogy dataset for situation recognition, where the task is to select an image candidate B’ that completes the analogy (A to A’ is like...

The Break-A-Scene dataset contains images with multiple concepts extracted from a single image.

We present FIT: a transformer-based architecture with efficient self-attention and adaptive computation.

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.

Semantic segmentation is one of the fundamental prob-lems in computer vision, whose task is to assign a seman-tic label to each pixel of an image so that different classes can...

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...