{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T17:27:21Z","timestamp":1791912441431,"version":"4.3.4"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Agncia de Gesti dAjuts Universitaris i de Recerca","award":["2018 DI 054"],"award-info":[{"award-number":["2018 DI 054"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2021.3137638","type":"journal-article","created":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T20:29:23Z","timestamp":1640204963000},"page":"22430-22440","source":"Crossref","is-referenced-by-count":128,"title":["T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6744-8884","authenticated-orcid":false,"given":"Daniel","family":"Padilla Carrasco","sequence":"first","affiliation":[{"name":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5421-1637","authenticated-orcid":false,"given":"Hatem A.","family":"Rashwan","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2611-6821","authenticated-orcid":false,"given":"Miguel \u00c1ngel","family":"Garc\u00eda","sequence":"additional","affiliation":[{"name":"Department of Electronic and Communications Technology, Universidad Autónoma de Madrid, Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dom\u00e8nec","family":"Puig","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100303"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2685143"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18502\/japh.v4i1.603"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.tranpol.2015.12.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.10.055"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2020.01.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-00921-1"},{"key":"ref8","article-title":"Counting and locating high-density objects using convolutional neural network","author":"dos Santos de Arruda","year":"2021","journal-title":"arXiv:2102.04366"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v19.i2.pp964-973"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s19020277"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.01.046"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1405.0312"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref15","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"Ren","year":"2015","journal-title":"arXiv:1506.01497"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref17","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv:1804.02767"},{"key":"ref18","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"Bochkovskiy","year":"2020","journal-title":"arXiv:2004.10934"},{"key":"ref19","article-title":"Scaled-YOLOv4: Scaling cross stage partial network","author":"Wang","year":"2020","journal-title":"arXiv:2011.08036"},{"key":"ref20","volume-title":"Ultralytics\/yolov5: V4.0\u2014Nn.SiLU() activations, weights & biases logging, PyTorch hub integration","author":"Jocher","year":"2021"},{"key":"ref21","article-title":"Feature pyramid networks for object detection","author":"Lin","year":"2016","journal-title":"arXiv:1612.03144"},{"key":"ref22","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"Paszke","year":"2016","journal-title":"arXiv:1606.02147"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICSSIT48917.2020.9214094"},{"key":"ref24","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref27","article-title":"TResNet: High performance GPU-dedicated architecture","author":"Ridnik","year":"2020","journal-title":"arXiv:2003.13630"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_178963"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/09658533.pdf?arnumber=9658533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:28:30Z","timestamp":1704846510000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9658533\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3137638","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}