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To address the limitations of existing object detection models in capturing the distinctive visual characteristics of comic images, this paper proposes an optimized detection framework, MANGA\u2010YOLOv8s (MA\u2010YOLOv8s). Specifically, a large separable kernel attention\u2010based spatial pyramid pooling (SPPF\u2010LSKA) module is designed to expand the effective receptive field and enhance multiscale feature aggregation for small\u2010object detection. The C2f\u2010DBB module is introduced into the detection head to refine deep feature representation while maintaining lightweight computation. Furthermore, a separated and enhancement attention module (SEAM) is incorporated into the detection heads to improve robustness against scale variation and suppress false detections. Unlike simple combinations of existing modules, these designs form a theoretically motivated and task\u2010specific integration that adapts the YOLOv8 framework to the structural and stylistic characteristics of comic images. Experiments on the Manga109 dataset demonstrate that MA\u2010YOLOv8s achieves a 3.7% improvement in mAP and a 3.4% increase in precision compared with YOLOv8s. The proposed method offers both theoretical and practical contributions to the development of efficient detection techniques for comic copyright protection.<\/jats:p>","DOI":"10.1155\/int\/8859427","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T06:50:56Z","timestamp":1770101456000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comic Image Detection Based on MA\u2010YOLOv8s"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5847-8559","authenticated-orcid":false,"given":"Hong","family":"Xin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1573-3625","authenticated-orcid":false,"given":"Xuanyou","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4360-4010","authenticated-orcid":false,"given":"De","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5908-8321","authenticated-orcid":false,"given":"Xun","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,2,2]]},"reference":[{"key":"e_1_2_12_1_2","volume-title":"Online Re-Creation Culture in the 21st Century: The Reconciliation Between Copyright Holders, Online Re-Creators and the Public Interest","author":"Khaosaeng K.","year":"2017"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/17510694.2018.1563420"},{"key":"e_1_2_12_3_2","unstructured":"MataramS.andArdiantoD. 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