{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/group-affect-prediction-using-multimodal","title":"Group Affect Prediction Using Multimodal Distributions","arxiv_id":"1710.01216","date":"2017-09-17","proceeding":null,"authors":["Saqib Shamsi","Bhanu Pratap Singh Rawat","Manya Wadhwa"],"abstract":"We describe our approach towards building an efficient predictive model to\ndetect emotions for a group of people in an image. We have proposed that\ntraining a Convolutional Neural Network (CNN) model on the emotion heatmaps\nextracted from the image, outperforms a CNN model trained entirely on the raw\nimages. The comparison of the models have been done on a recently published\ndataset of Emotion Recognition in the Wild (EmotiW) challenge, 2017. The\nproposed method achieved validation accuracy of 55.23% which is 2.44% above the\nbaseline accuracy, provided by the EmotiW organizers.","url_abs":"http://arxiv.org/abs/1710.01216v2","url_pdf":"http://arxiv.org/pdf/1710.01216v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"group-affect-prediction-using-multimodal","repo_url":"https://github.com/saqibns/cv-aal-2018","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"emotion-recognition","task_name":"Emotion Recognition"},{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}