{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T10:22:13Z","timestamp":1778149333352,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T00:00:00Z","timestamp":1666310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,21]]},"DOI":"10.1145\/3573428.3573715","type":"proceedings-article","created":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T10:43:09Z","timestamp":1678876989000},"page":"1624-1630","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Improved Algorithm for YOLOX-S Object Detection Based on Diverse Branch Block (DBB)"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0886-057X","authenticated-orcid":false,"given":"Li","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Information and Automation, Qilu University of Technology (Shandong Academy of Sciences), China and \rShandong Institutes of Industrial Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0062-692X","authenticated-orcid":false,"given":"Fengshan","family":"Zou","sequence":"additional","affiliation":[{"name":"Shandong Institutes of Industrial Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4566-4532","authenticated-orcid":false,"given":"Xiaofeng","family":"Wang","sequence":"additional","affiliation":[{"name":"SIASUN Robot &amp; Automation CO., Ltd., China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6097-6441","authenticated-orcid":false,"given":"Zizhong","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Information and Automation, Qilu University of Technology (Shandong Academy of Sciences), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5245-1984","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Shandong Institutes of Industrial Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,15]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A Survey on Face Recognition Systems [J\/OL]","author":"Dalvi J","year":"2022","unstructured":"Dalvi J, Bafna S, Bagaria D, A Survey on Face Recognition Systems [J\/OL] 2022, arXiv:2201.02991"},{"key":"e_1_3_2_1_2_1","volume-title":"ByteTrack: Multi-Object Tracking by Associating Every Detection Box [Z]. arXiv","author":"Zhang Y","year":"2021","unstructured":"Zhang Y, Sun P, Jiang Y, ByteTrack: Multi-Object Tracking by Associating Every Detection Box [Z]. arXiv. 2021."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"e_1_3_2_1_4_1","volume-title":"ICECCME 2021","author":"Zouhal Z","year":"2021","unstructured":"Zouhal Z, Benfriha K, El Helou M, Approach for industrial inspection in the context of Industry 4.0; proceedings of the 2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021, October 7, 2021 - October 8, 2021, Mauritius, Mauritius, F, 2021 [C]. Institute of Electrical and Electronics Engineers Inc."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_6_1","volume-title":"arXiv e-prints","author":"Girshick R.","year":"2015","unstructured":"Girshick R. Fast R-CNN [J]. arXiv e-prints, 2015: arXiv 1504.08083."},{"key":"e_1_3_2_1_7_1","volume-title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [J]. arXiv e-prints","author":"Ren S","year":"2015","unstructured":"Ren S, He K, Girshick R, Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks [J]. arXiv e-prints, 2015: arXiv 1506.01497."},{"key":"e_1_3_2_1_8_1","volume-title":"Real-Time Object Detection [J\/OL]","author":"Redmon J","year":"2015","unstructured":"Redmon J, Divvala S, Girshick R, You Only Look Once: Unified, Real-Time Object Detection [J\/OL] 2015, arXiv:1506.02640"},{"key":"e_1_3_2_1_9_1","volume-title":"Erhan D","author":"Liu W","year":"2015","unstructured":"Liu W, Anguelov D, Erhan D, SSD: Single Shot MultiBox Detector [J]. arXiv e-prints, 2015: arXiv 1512.02325."},{"key":"e_1_3_2_1_10_1","volume-title":"Faster, Stronger [J\/OL]","author":"Redmon J","year":"2016","unstructured":"Redmon J and Farhadi A. YOLO9000: Better, Faster, Stronger [J\/OL] 2016, arXiv:1612.08242"},{"key":"e_1_3_2_1_11_1","volume-title":"YOLOv3: An Incremental Improvement [J\/OL]","author":"Redmon J","year":"2018","unstructured":"Redmon J and Farhadi A. YOLOv3: An Incremental Improvement [J\/OL] 2018, arXiv:1804.02767"},{"key":"e_1_3_2_1_12_1","volume-title":"Wang C-Y and Liao H-Y M. YOLOv4: Optimal Speed and Accuracy of Object Detection [J\/OL]","author":"Bochkovskiy A","year":"2020","unstructured":"Bochkovskiy A, Wang C-Y and Liao H-Y M. YOLOv4: Optimal Speed and Accuracy of Object Detection [J\/OL] 2020, arXiv: 2004.10934"},{"key":"e_1_3_2_1_13_1","volume-title":"YOLOX: Exceeding YOLO Series in 2021 [J]. arXiv e-prints","author":"Ge Z","year":"2021","unstructured":"Ge Z, Liu S, Wang F, Li, Z. and Sun, J. YOLOX: Exceeding YOLO Series in 2021 [J]. arXiv e-prints, 2021: arXiv 2107.08430."},{"key":"e_1_3_2_1_14_1","volume-title":"YOLOv5 release v5.0. https:\/\/github.com\/ultralytics\/yolov5\/releases\/tag\/v5.0","author":"Glenn J.","year":"2021","unstructured":"Glenn J. YOLOv5 release v5.0. https:\/\/github.com\/ultralytics\/yolov5\/releases\/tag\/v5.0, 2021."},{"key":"e_1_3_2_1_15_1","volume-title":"Online Convolutional Re-parameterization [J]. arXiv e-prints","author":"Hu M","year":"2022","unstructured":"Hu M, Feng J, Hua J, Online Convolutional Re-parameterization [J]. arXiv e-prints, 2022: arXiv 2204.00826."},{"key":"e_1_3_2_1_16_1","volume-title":"Wu Y H, CSPNet: A New Backbone that can Enhance Learning Capability of CNN","author":"Wang C Y","year":"2020","unstructured":"Wang C Y, Liao H Y M, Wu Y H, CSPNet: A New Backbone that can Enhance Learning Capability of CNN; proceedings of the 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), F 14-19 June 2020, 2020 [C]."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"e_1_3_2_1_18_1","volume-title":"Feature Pyramid Networks for Object Detection [J]. arXiv e-prints","author":"Lin T-Y","year":"2016","unstructured":"Lin T-Y, Doll\u00e1r P, Girshick R, Feature Pyramid Networks for Object Detection [J]. arXiv e-prints, 2016: arXiv 1612.03144."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"e_1_3_2_1_20_1","volume-title":"ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks [J]. arXiv e-prints","author":"Ding X","year":"2019","unstructured":"Ding X, Guo Y, Ding G, ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks [J]. arXiv e-prints, 2019: arXiv 1908.03930."},{"key":"e_1_3_2_1_21_1","volume-title":"Diverse Branch Block: Building a Convolution as an Inception-like Unit [J]. arXiv e-prints","author":"Ding X","year":"2021","unstructured":"Ding X, Zhang X, Han J, Diverse Branch Block: Building a Convolution as an Inception-like Unit [J]. arXiv e-prints, 2021: arXiv 2103.13425."}],"event":{"name":"EITCE 2022: 2022 6th International Conference on Electronic Information Technology and Computer Engineering","location":"Xiamen China","acronym":"EITCE 2022"},"container-title":["Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573428.3573715","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3573428.3573715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:25Z","timestamp":1750182565000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573428.3573715"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,21]]},"references-count":21,"alternative-id":["10.1145\/3573428.3573715","10.1145\/3573428"],"URL":"https:\/\/doi.org\/10.1145\/3573428.3573715","relation":{},"subject":[],"published":{"date-parts":[[2022,10,21]]},"assertion":[{"value":"2023-03-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}