Dataset Groups Activity Stream CIRR CIRR is a general image dataset that comprises 36,554 triplets derived from 21,552 images from the popular natural language inference dataset NLVR2. BibTex: @dataset{Zheyuan_Liu_and_Cristian_Rodriguez_Opazo_and_Damien_Teney_and_Stephen_Gould_2024, abstract = {CIRR is a general image dataset that comprises 36,554 triplets derived from 21,552 images from the popular natural language inference dataset NLVR2.}, author = {Zheyuan Liu and Cristian Rodriguez Opazo and Damien Teney and Stephen Gould}, doi = {10.57702/9n02vubw}, institution = {No Organization}, keyword = {'CIRR', 'Compositional Image Retrieval', 'Dataset', 'Image Retrieval', 'Real-Life Images', 'Zero-Shot Learning', 'general image dataset', 'image retrieval', 'natural language inference'}, month = {dec}, publisher = {TIB}, title = {CIRR}, url = {https://service.tib.eu/ldmservice/dataset/cirr}, year = {2024} }
