13 datasets found

The dataset used in the paper is SUN Attribute, which consists of 717 classes of images with annotations.

Automatic Pronunciation Assessment (APA) is vital for computer-assisted language learning. Prior methods rely on annotated speech-text data to train Automatic Speech Recognition...

Zero-Shot Temporal Action Detection via Vision-Language Prompting (STALE) model for the under-studied yet practically useful zero-shot temporal action detection (ZS-TAD)

The CRL model is based on class-level classifiers, built class-by-class, that would be a representative of instances of a specific class by utilizing activation features of...

The paper discusses the use of multi-objective Bayesian optimization for hyperparameter transfer in topic models.

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...

ODIN is an innovative approach that addresses the problem of dataset constraints by integrating generative AI models.

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 Imagenette dataset is a zero-shot image classification dataset, containing 13,394 images from ten easily separable classes in ImageNet.

The C-GQA dataset is a large-scale dataset for compositional zero-shot learning, containing 413 attributes and 674 objects.