15 datasets found

The proposed approach uses a single deep network of YOLOv8 for both segmentation and style transfer.

The SAM3D dataset is a custom dataset created for the SAM3D paper, containing 798 training sequences, 202 validation sequences, and 150 testing sequences.

The dataset used in the paper is the VOC dataset, which is a dataset for object detection and segmentation.

The CAMO dataset is the first COD dataset, containing 1,250 camouflaged images and 1,250 non-camouflaged images.

Unsupervised multi-object segmentation using attention and soft-argmax

Unsupervised multi-object segmentation using attention and soft-argmax

Unsupervised multi-object segmentation using attention and soft-argmax

CLEVRTEX is a synthetic dataset designed to present the next challenge in unsupervised multi-object learning. It introduces confounding visual aspects such as texture, irregular...

Unsupervised multi-object segmentation using attention and soft-argmax

A dataset of textual entailment tasks, used for evaluating the ability of language models to understand relationships between texts.

The Pascal Visual Object Classes (VOC) challenge is a benchmark for object detection and segmentation.

The dataset used in the paper is a WISDOM dataset for object instance segmentation.

CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger,...

The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

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...