{"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/ipic-xai-improving-pic-xai-for-enhanced-image","title":"iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning Explanation","arxiv_id":null,"date":"2023-09-23","proceeding":"2023 14th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) 2023 9","authors":["Modafar Al-Shouha","Gábor Szűcs"],"abstract":"Image captioning task with its complexity has taken advantage of the recent developments in Deep learning (DL). However, DL-models are fundamentally abstruse and explaining their behaviour is a challenge. In this paper we present an algorithm to explain an image captioning model behavior. We enhanced PIC-XAI performance by introducing various components; (1) we utilize CLIP multimodal similarity for more efficiency, (2) we consider the query dependency tag as a clue for elements with bigger size, (3) we provide an algorithm to automatically set the preprocessing blurring kernel size, and (4) we use a similarity comparison technique to get more relevant answers. Additionally, we provide an improved version of $XIC$ metric, aiming for more consistent objective evaluation for XAI methods in image captioning field.","url_abs":"https://doi.org/10.1109/coginfocom59411.2023.10397523","url_pdf":"https://doi.org/10.1109/coginfocom59411.2023.10397523","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":"ipic-xai-improving-pic-xai-for-enhanced-image","repo_url":"https://github.com/modafarshouha/PIC-XAI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"image-captioning","task_name":"Image Captioning"},{"task_slug":"tag","task_name":"TAG"}],"methods":[{"method_slug":"clip","method_name":"CLIP"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}