{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T15:34:44Z","timestamp":1776785684546,"version":"3.51.2"},"reference-count":31,"publisher":"Tech Science Press","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.060873","type":"journal-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T02:48:24Z","timestamp":1735786104000},"page":"4555-4572","source":"Crossref","is-referenced-by-count":5,"title":["YOLO-S3DT: A Small Target Detection Model for UAV Images Based on YOLOv8"],"prefix":"10.32604","volume":"82","author":[{"given":"Pengcheng","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenjiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","first-page":"100","article-title":"Improved YOLOv8 small target detection algorithm in aerial images","volume":"60","author":"Fu","year":"2024","journal-title":"J Comput Eng Appl"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2546","DOI":"10.3390\/electronics11162546","article-title":"Small object detection method based on weighted feature fusion and CSMA attention module","volume":"11","author":"Peng","year":"2022","journal-title":"Electronics"},{"key":"ref3","series-title":"Computer Vision\u2013ECCV 2014: 13th European Conference","first-page":"740","article-title":"Microsoft COCO: common objects in context","author":"Lin","year":"2014"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"10773","DOI":"10.3934\/mbe.2023478","article-title":"An improved UAV target detection algorithm based on ASFF-YOLOv5s","volume":"20","author":"Shen","year":"2023","journal-title":"Math Biosci Eng"},{"key":"ref5","first-page":"55","article-title":"Small target detection in UAV aerial image based on high-performance feature extraction and task decoupling","volume":"41","author":"Zhao","year":"2024","journal-title":"Microelect Comput"},{"key":"ref6","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"4203","article-title":"Single-shot refinement neural network for object detection","author":"Zhang","year":"2018"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"94508","DOI":"10.1109\/ACCESS.2019.2928522","article-title":"Multi-attention object detection model in remote sensing images based on multi-scale","volume":"7","author":"Ying","year":"2019","journal-title":"IEEE Access"},{"key":"ref8","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"206","article-title":"SOD-MTGAN: small object detection via multi-task generative adversarial network","author":"Bai","year":"2018"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"4339","DOI":"10.3390\/s22124339","article-title":"Enhanced single shot small object detector for aerial imagery using super-resolution, feature fusion and deconvolution","volume":"22","author":"Maktab Dar Oghaz","year":"2022","journal-title":"Sensors"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"14365","DOI":"10.1109\/ACCESS.2023.3241005","article-title":"An improved YOLOv5 method for small object detection in UAV capture scenes","volume":"11","author":"Liu","year":"2023","journal-title":"IEEE Access"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"4851","DOI":"10.3390\/rs13234851","article-title":"ECAP-YOLO: efficient channel attention pyramid YOLO for small object detection in aerial image","volume":"13","author":"Kim","year":"2021","journal-title":"Remote Sens"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"104697","DOI":"10.1016\/j.imavis.2023.104697","article-title":"Improved YOLOX-X based UAV aerial pho-tography object detection algorithm","volume":"135","author":"Wang","year":"2023","journal-title":"Image Vis Comput"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"7190","DOI":"10.3390\/s23167190","article-title":"UAV-YOLOv8: a small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios","volume":"23","author":"Wang","year":"2023","journal-title":"Sensors"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"109530","DOI":"10.1016\/j.compag.2024.109530","article-title":"Oil palm tree detection in UAV imagery using an enhanced RetinaNet","volume":"227","author":"Lee","year":"2024","journal-title":"Comput Electron Agric"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"7380","DOI":"10.1109\/TPAMI.2021.3119563","article-title":"Detection and tracking meet drones challenge","volume":"44","author":"Zhu","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"677","DOI":"10.3390\/machines11070677","article-title":"YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection","volume":"11","author":"Hussain","year":"2023","journal-title":"Machines"},{"key":"ref17","unstructured":"Redmon J. YOLOv3: an incremental improvement. arXiv:1804.02767. 2018."},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","article-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition","volume":"37","author":"He","year":"2015","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref19","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1251","article-title":"Xception: deep learning with depthwise separable convolutions","author":"Chollet","year":"2017"},{"key":"ref20","unstructured":"Yu F. Multi-scale context aggregation by dilated convolutions. arXiv:1511.07122. 2015."},{"key":"ref21","series-title":"2023 IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"6027","article-title":"Learning to upsample by learning to sample","author":"Liu","year":"2023"},{"key":"ref22","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1874","article-title":"Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network","author":"Shi","year":"2016"},{"key":"ref23","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"779","article-title":"You only look once: unified, real-time object detection","author":"Redmon","year":"2016"},{"key":"ref24","unstructured":"Bochkovskiy A, Wang CY, Liao HYM. YOLOv4: optimal speed and accuracy of object detection. arXi:2004.10934. 2020."},{"key":"ref25","unstructured":"Li C, Li L, Jiang H, Weng K, Geng Y, Li L, et al. YOLOv6: a single-stage object detection framework for industrial applications. arXiv:2209.02976. 2022."},{"key":"ref26","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"7464","article-title":"YOLOv7: trainable bag-of-freebies sets new state-of- the-art for real-time object detectors","author":"Wang","year":"2023"},{"key":"ref27","series-title":"Computer Vision\u2013ECCV 2016: 14th European Conference","first-page":"21","article-title":"Ssd: single shot multibox detector","author":"Liu","year":"2016"},{"key":"ref28","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2999","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017"},{"key":"ref29","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10781","article-title":"EfficientDet: scalable and efficient object detection","author":"Tan","year":"2020"},{"key":"ref30","series-title":"2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)","first-page":"650","article-title":"Face detection with the faster R-CNN","author":"Jiang","year":"2017"},{"key":"ref31","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"6569","article-title":"CenterNet: Keypoint triplets for object detection","author":"Duan","year":"2019"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-82-3\/TSP_CMC_60873\/TSP_CMC_60873.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T06:31:00Z","timestamp":1763101860000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n3\/59930"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":31,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.060873","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}