[{"editor":[{"last_name":"Böhm","full_name":"Böhm, Stephan","first_name":"Stephan"},{"last_name":"Ahrweiler","full_name":"Ahrweiler, Petra","first_name":"Petra"},{"first_name":"Johannes","last_name":"Gutenberg","full_name":"Gutenberg, Johannes"},{"full_name":"Leung, Clement ","last_name":"Leung","first_name":"Clement "}],"citation":{"ama":"Vovchenko V, Schultenkämper S, Bäumer F. A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In: Böhm S, Ahrweiler P, Gutenberg J, Leung C, eds. 2026 The Second International Conference on AI-Based Media Innovation. IARIA.","chicago":"Vovchenko, Viktoriia, Sergej Schultenkämper, and Frederik Bäumer. “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models.” In 2026 The Second International Conference on AI-Based Media Innovation, edited by Stephan Böhm, Petra Ahrweiler, Johannes Gutenberg, and Clement Leung. IARIA, n.d.","mla":"Vovchenko, Viktoriia, et al. “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models.” 2026 The Second International Conference on AI-Based Media Innovation, edited by Stephan Böhm et al., IARIA.","alphadin":"Vovchenko, Viktoriia ; Schultenkämper, Sergej ; Bäumer, Frederik: A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In: Böhm, S. ; Ahrweiler, P. ; Gutenberg, J. ; Leung, C. (Hrsg.): 2026 The Second International Conference on AI-based Media Innovation : IARIA","bibtex":"@inproceedings{Vovchenko_Schultenkämper_Bäumer, title={A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models}, booktitle={2026 The Second International Conference on AI-based Media Innovation}, publisher={IARIA}, author={Vovchenko, Viktoriia and Schultenkämper, Sergej and Bäumer, Frederik}, editor={Böhm, Stephan and Ahrweiler, Petra and Gutenberg, Johannes and Leung, Clement Editors} }","short":"V. Vovchenko, S. Schultenkämper, F. Bäumer, in: S. Böhm, P. Ahrweiler, J. Gutenberg, C. Leung (Eds.), 2026 The Second International Conference on AI-Based Media Innovation, IARIA, n.d.","apa":"Vovchenko, V., Schultenkämper, S., & Bäumer, F. (n.d.). A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In S. Böhm, P. Ahrweiler, J. Gutenberg, & C. Leung (Eds.), 2026 The Second International Conference on AI-based Media Innovation. Nizza, Frankreich: IARIA.","ieee":"V. Vovchenko, S. Schultenkämper, and F. Bäumer, “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models,” in 2026 The Second International Conference on AI-based Media Innovation, Nizza, Frankreich."},"abstract":[{"lang":"eng","text":"Selecting an appropriate semantic segmentation model for a given application domain remains a challenging and time-consuming task for practitioners and researchers. This paper presents an interactive, web-based platform that enables side-by-side visual comparison of multiple neural network segmentation models applied to identical images. The system integrates three transformer-based segmentation models: a face-parsing network producing 19 semantic classes, a SegFormer-B3 clothing segmentation model with 18 classes, and a Mask2Former model for general-purpose scene segmentation spanning 150 ADE20K categories. Key contributions include side-by-side evaluation of model outputs across multiple architectures and image categories, with real-time segment highlighting and a scalable inference caching system that enables model comparisons without requiring repeated graphics processing unit (GPU) computation. The platform organizes a curated dataset of images under a hierarchical category taxonomy, supporting structured evaluation across demographic and contextual variables. As a practical use case, the system is applied within the ADRIAN project to assist in verifying identity consistency across images through segmentation-based analysis. The platform thus contributes a specialized artificial intelligence (AI) tool for systematic segmentation and object detection model evaluation within media analysis pipelines, where selecting appropriate models is a recurring challenge across tasks from identity verification to content moderation. It is available under https://github.com/vika-v-v/neural-networks-for-image-segmentation and designed to lower the barrier for comparative model evaluation in applied computer vision workflows."}],"conference":{"end_date":"2026-07-09","start_date":"2026-07-05","location":"Nizza, Frankreich","name":"2026 The Second International Conference on AI-based Media Innovation"},"publication_identifier":{"isbn":["978-1-68558-403-0"]},"main_file_link":[{"url":"https://www.thinkmind.org/library/AIMEDIA/AIMEDIA_2026"}],"type":"conference","publication":"2026 The Second International Conference on AI-based Media Innovation","date_created":"2026-06-19T16:31:47Z","user_id":"220548","author":[{"id":"252442","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229773","first_name":"Viktoriia","last_name":"Vovchenko","orcid":"0009-0004-9798-1112","full_name":"Vovchenko, Viktoriia"},{"full_name":"Schultenkämper, Sergej","orcid":"0009-0005-6858-9813","last_name":"Schultenkämper","first_name":"Sergej","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229775","id":"236164"},{"id":"241734","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229776","first_name":"Frederik","last_name":"Bäumer","orcid":"0000-0002-0826-0144","full_name":"Bäumer, Frederik"}],"date_updated":"2026-07-27T12:17:01Z","status":"public","keyword":["segmentation","model comparison","face parsing"],"language":[{"iso":"eng"}],"_id":"7002","title":"A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models","publisher":"IARIA","year":"2026","publication_status":"accepted"},{"citation":{"alphadin":"Vovchenko, Viktoriia ; Barberi, Vincenzo ; Schultenkämper, Sergej ; Bäumer, Frederik: ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. 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ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In: 2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context.","chicago":"Vovchenko, Viktoriia, Vincenzo Barberi, Sergej Schultenkämper, and Frederik Bäumer. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.” In 2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context, n.d.","ieee":"V. Vovchenko, V. Barberi, S. Schultenkämper, and F. Bäumer, “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images,” in 2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context, Porto, Portugal.","apa":"Vovchenko, V., Barberi, V., Schultenkämper, S., & Bäumer, F. (n.d.). ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In 2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context. Porto, Portugal."},"conference":{"start_date":"2026-06-05","location":"Porto, Portugal","name":"2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context","end_date":"2026-06-11"},"publication_identifier":{"isbn":["978-1-68558-449-8"]},"type":"conference","date_created":"2026-06-19T16:23:04Z","publication":"2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context","user_id":"220548","author":[{"first_name":"Viktoriia","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229244","id":"252442","full_name":"Vovchenko, Viktoriia","orcid":"0009-0004-9798-1112","last_name":"Vovchenko"},{"first_name":"Vincenzo","full_name":"Barberi, Vincenzo","last_name":"Barberi"},{"id":"236164","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229246","first_name":"Sergej","last_name":"Schultenkämper","orcid":"0009-0005-6858-9813","full_name":"Schultenkämper, Sergej"},{"orcid":"0000-0002-0826-0144","full_name":"Bäumer, Frederik","last_name":"Bäumer","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229247","first_name":"Frederik","id":"241734"}],"date_updated":"2026-06-22T07:54:10Z","status":"public","keyword":["Deepfakes","Image forensics","Diffusion models","Computer vision"],"language":[{"iso":"eng"}],"_id":"6998","title":"ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images","year":"2026","publication_status":"accepted"},{"conference":{"end_date":"2025-02-05","location":"Laguna Hills, CA","start_date":"2025-02-03","name":"IEEE International Conference on Semantic Computing"},"doi":"10.1109/ICSC64641.2025.00045","corporate_editor":["IEEE"],"citation":{"alphadin":"Schultenkämper, Sergej ; Vovchenko, Viktoriia ; Bäumer, Frederik: Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. 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Vovchenko, and F. Bäumer, “Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking,” in The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI, Laguna Hills, CA, 2025.","apa":"Schultenkämper, S., Vovchenko, V., & Bäumer, F. (2025). Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. In IEEE (Ed.), The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI. 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In: SN Computer Science Bd. 5, Springer Science and Business Media LLC (2024), Nr. 8","bibtex":"@article{Bäumer_Schultenkämper_Geierhos_Lee_2024, title={Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together}, volume={5}, DOI={10.1007/s42979-024-03413-z}, number={81109}, journal={SN Computer Science}, publisher={Springer Science and Business Media LLC}, author={Bäumer, Frederik Simon and Schultenkämper, Sergej and Geierhos, Michaela and Lee, Yeong Su}, year={2024} }","apa":"Bäumer, F. S., Schultenkämper, S., Geierhos, M., & Lee, Y. S. (2024). Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together. SN Computer Science, 5(8). https://doi.org/10.1007/s42979-024-03413-z","ieee":"F. S. Bäumer, S. Schultenkämper, M. Geierhos, and Y. S. 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M. G., Eryılmaz, B., Becker, H., Idrissi-Yaghir, A., Schäfer, H., … Friedrich, C. M. (2024). WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. In D. Demner-Fushman, S. Ananiadou, M. Miwa, K. Roberts, & J. Tsujii (Eds.), Proceedings of the 23rd Workshop on Biomedical Natural Language Processing (pp. 105–121). Stroudsburg, PA, USA: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.bionlp-1.9","ieee":"H. Damm et al., “WisPerMed at ‘Discharge Me!’: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV,” in Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, Bangkok, Thailand, 2024, pp. 105–121.","ama":"Damm H, Pakull TMG, Eryılmaz B, et al. 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