{"paper":{"title":"AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.IR","cs.LG","stat.ML"],"primary_cat":"cs.HC","authors_text":"Adria Mallol-Ragolta, Bj\\\"orn Schuller, Eva-Maria Messner, Fabien Ringeval, Leili Tavabi, Maja Pantic, Maximilian Schmitt, Michel Valstar, Mohammad Soleymani, Nicholas Cummins, Roddy Cowie, Shahin Amiriparian, Shuo Liu, Sina Alisamir, Siyang Song, Zhao Ren, Ziping Zhao","submitted_at":"2019-07-10T13:41:42Z","abstract_excerpt":"The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) \"State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition\" is the ninth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual processing communiti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.11510","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}