25 datasets found

The proposed method uses two benchmark datasets with different kinds of images, MNIST and CIFAR-10.

The dataset used in this study is the ImageCLEF corpus.

The paper introduces a plug-and-play descriptor that can be effectively adopted for image retrieval tasks without prior initialization or preparation.

The Im2GPS dataset is a large-scale image dataset containing 2,000 images with associated GPS coordinates.

Research paper on contrastive self-supervised learning.

Self-supervised visual representation learning framework for ranking random image views.

The Holidays dataset is used for testing the performance of the HAE on visual feature translation.

The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318...

RobotCar Seasons dataset is a revision of the Oxford RobotCar dataset, which features both short-term and long-term environment evolutions, and therefore different conditions....

Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

GeneCIS is a benchmark for Compositional Image Retrieval, which aims to retrieve the relevant target image in a database.

CIRCO is a benchmark for Compositional Image Retrieval, which aims to retrieve the relevant target image in a database.

Compositional Image Retrieval through Vision-by-Language (CIReVL) is a training-free approach for Zero-Shot Compositional Image Retrieval (CIR). Utilizing off-the-shelf...

The dataset used in the paper is a multi-graph problem, where each graph represents a different network. The dataset is used to evaluate the performance of the RECS algorithm on...

The dataset is used for person re-identification and image retrieval.

The Birds-to-Words dataset contains 15,931 images (12,770 training and 3,151 testing) tagged with descriptions of fine-grained differences between pairwise bird images.

CIRR is a general image dataset that comprises 36,554 triplets derived from 21,552 images from the popular natural language inference dataset NLVR2.

The FashionIQ dataset contains images of fashion products over 3 categories: Dress, Toptee, and Shirt, with 46,609 images in the training and 31,075 images in the validation set.

The dataset used in the paper is a multi-view clustering dataset, which contains 6 views of 30000 samples each. The dataset is used to evaluate the performance of the proposed...

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