{"url":"/task/multimodal-association","name":"Multimodal Association","slug":"multimodal-association","description_markdown":"**Multimodal association** refers to the process of associating multiple modalities or types of data in time series analysis. In time series analysis, multiple modalities or types of data can be collected, such as sensor data, images, audio, and text. Multimodal association aims to integrate these different types of data to improve the understanding and prediction of the time series.\r\n\r\nFor example, in a smart home application, sensor data from temperature, humidity, and motion sensors can be combined with images from cameras to monitor the activities of residents. By analyzing the multimodal data together, the system can detect anomalies or patterns that may not be visible in individual modalities alone.\r\n\r\nMultimodal association can be achieved using various techniques, including deep learning models, statistical models, and graph-based models. These models can be trained on the multimodal data to learn the associations and dependencies between the different types of data.","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"},{"name":"Time Series","url":"/area/time-series"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":7,"papers_with_code":3,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":1,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/vi-fi-multi-modal-dataset","name":"Vi-Fi Multi-modal Dataset","full_name":"","num_papers_in_archive":5},{"url":"/dataset/taste-music-dataset","name":"taste-music-dataset","full_name":"Taste Music Dataset","num_papers_in_archive":1}],"subtasks":[{"url":"/task/multimodal-generation","name":"multimodal generation"}],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":3,"of":3,"tagged_in_all":7,"items":[{"url":"/paper/vitag-online-wifi-fine-time-measurements","title":"ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments","date":"2022-09-20","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/winogavil-gamified-association-benchmark-to","title":"WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models","date":"2022-07-25","arxiv_id":"2207.12576","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/vi-fi-associating-moving-subjects-across","title":"Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors","date":"2022-07-18","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":1,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}