3 datasets found

Tags: compositional zero-shot learning

Filter Results

  • C-GQA

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

  • MIT-States

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used MIT-States, Fashion200k, and COCO 2017 Panoptic Segmentation datasets for...

  • CLEVR

    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,...
You can also access this registry using the API (see API Docs).