{"url":"/dataset/correlated-corrupted-dataset","name":"Correlated Corrupted Dataset","full_name":"CCD","description_markdown":"Correlated Corrupted Dataset is an evaluation set that consists of realistic visible-infrared (V-I) corruptions allowing for models' corruption robustness evaluation. Initially proposed for multimodal person re-identification, our dataset can also be used for the evaluation of V-I cross-modal approaches. Corruptions of the visible modality are the twenty corruptions proposed by Chen & al. in the \"Benchmarks for Corruption Invariant Person Re-identification\" paper. Corruptions of the infrared modalities have been proposed in our paper, introducing 19 corruptions that respect the infrared modality encoding. In practice, for co-located visible-infrared cameras, weather-related corruptions should, for example, affect each camera. Also, blur-related corruption would likely occur in both visible and infrared cameras. This dataset tackles this aspect by considering the eventual correlations that may occur from one modality camera to another.","description_withheld":null,"homepage":"https://github.com/art2611/MREiD-UCD-CCD","introduced_date":"2023-04-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/fusion-for-visual-infrared-person-reid-in","title":"Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data","first_author":"Arthur Josi","url":null},"license":null,"modalities":[],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Multimodal Deep Learning","url":"/task/multimodal-deep-learning","datasets_with_task":"/datasets/task/multimodal-deep-learning"},{"name":"Cross-Modal Person Re-Identification","url":null,"datasets_with_task":"/datasets/task/cross-modal-person-re-identification"},{"name":"Infrared And Visible Image Fusion","url":"/task/infrared-and-visible-image-fusion","datasets_with_task":"/datasets/task/infrared-and-visible-image-fusion"}],"languages":[],"variants":["Correlated Corrupted Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}