20 datasets found

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

This paper presents a novel method that leverages a visual-language model, CLIP, as a data source for zero-shot anomaly detection.

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 one image to 3D object.

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 dataset used for evaluation of the MS-CLIP model, which consists of 25 public datasets for zero-shot learning and linear probing.

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.

Google Open Images dataset, which contains 19,958 categories and is used for zero-shot learning.

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.

AWA2 is an animal dataset containing 37,322 images from 50 classes, with 85 attributes provided by experts to describe the semantic feature of each class.

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.

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,...

Zero-shot image captioning without well-paired image-text data can be divided into two categories, training-free and text-only-training. Generally, these two types of methods...