Dataset Groups Activity Stream OmniGlue The dataset used in the paper for image matching, consisting of 7 datasets with varied image domains, including scene-level, object-centric and aerial images. BibTex: @dataset{Hanwen_Jiang_and_Arjun_Karpur_and_Bingyi_Cao_and_Qixing_Huang_and_André_Araujo_2024, abstract = {The dataset used in the paper for image matching, consisting of 7 datasets with varied image domains, including scene-level, object-centric and aerial images.}, author = {Hanwen Jiang and Arjun Karpur and Bingyi Cao and Qixing Huang and André Araujo}, doi = {10.57702/gp2l42ig}, institution = {No Organization}, keyword = {'deep learning', 'feature matching', 'image matching'}, month = {dec}, publisher = {TIB}, title = {OmniGlue}, url = {https://service.tib.eu/ldmservice/dataset/omniglue}, year = {2024} }
