{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:26:15Z","timestamp":1775665575154,"version":"3.50.1"},"reference-count":19,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2025,5,25]],"date-time":"2025-05-25T00:00:00Z","timestamp":1748131200000},"content-version":"vor","delay-in-days":144,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.061743","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T05:03:50Z","timestamp":1744002230000},"page":"4353-4371","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Double Self-Attention Based Fully Connected Feature Pyramid Network for Field Crop Pest Detection"],"prefix":"10.32604","volume":"83","author":[{"given":"Zijun","family":"Gao","sequence":"first","affiliation":[]},{"given":"Zheyi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chunqi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jingwen","family":"Su","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"814681","DOI":"10.3389\/fpls.2022.814681","article-title":"Tomato pest recognition algorithm based on improved YOLOv4","volume":"13","author":"Liu","year":"2022","journal-title":"Front Plant Sci"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"40888","DOI":"10.1109\/ACCESS.2022.3167397","article-title":"MS-ALN: multiscale attention learning network for pest recognition","volume":"10","author":"Feng","year":"2022","journal-title":"IEEE Access"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"898","DOI":"10.3389\/fpls.2020.00898","article-title":"Tomato diseases and pests detection based on improved Yolo V3 convolutional neural network","volume":"11","author":"Liu","year":"2020","journal-title":"Front Plant Sci"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1033544","DOI":"10.3389\/fpls.2022.1033544","article-title":"Prior knowledge auxiliary for few-shot pest detection in the wild","volume":"13","author":"Wang","year":"2023","journal-title":"Front Plant Sci"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"7834","DOI":"10.3390\/app10217834","article-title":"A review of video object detection: datasets, metrics and methods","volume":"10","author":"Zhu","year":"2020","journal-title":"Appl Sci"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1913577","DOI":"10.1155\/2022\/1913577","article-title":"Pest identification and counting of yellow plate in field based on improved mask R-CNN","volume":"2022","author":"Rong","year":"2022","journal-title":"Discrete Dyn Nat Soc"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"106268","DOI":"10.1016\/j.compag.2021.106268","article-title":"Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment","volume":"187","author":"Wang","year":"2021","journal-title":"Comput Electron Agric"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"104016","DOI":"10.1109\/ACCESS.2023.3317506","article-title":"Faster-PestNet: a lightweight deep learning framework for crop pest detection and classification","volume":"11","author":"Ali","year":"2023","journal-title":"IEEE Access"},{"key":"ref9","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 Jun 27\u201330"},{"key":"ref10","first-page":"2193","article-title":"An improved YOLO network for unopened cotton boll detection in the field","volume":"42","author":"Zhang","year":"2022","journal-title":"J Intell Fuzzy Syst"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"973985","DOI":"10.3389\/fpls.2022.973985","article-title":"Pest-YOLO: a model for large-scale multi-class dense and tiny pest detection and counting","volume":"13","author":"Wen","year":"2022","journal-title":"Front Plant Sci"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"280","DOI":"10.3390\/insects14030280","article-title":"Detection of rice pests based on self-attention mechanism and multi-scale feature fusion","volume":"14","author":"Hu","year":"2023","journal-title":"Insects"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.3390\/agriculture14071052","article-title":"A lightweight rice pest detection algorithm using improved attention mechanism and YOLOv8","volume":"14","author":"Yin","year":"2024","journal-title":"Agriculture"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"228","DOI":"10.3390\/agriculture14020228","article-title":"PestLite: a novel YOLO-based deep learning technique for crop pest detection","volume":"14","author":"Dong","year":"2024","journal-title":"Agriculture"},{"key":"ref15","series-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"8779","article-title":"IP102: a large-scale benchmark dataset for insect pest recognition","author":"Wu","year":"2019 Jun 15\u201320"},{"key":"ref16","series-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8759","article-title":"Path aggregation network for instance segmentation","author":"Liu","year":"2018 Jun 18\u201323"},{"key":"ref17","series-title":"Computer vision\u2013ECCV 2018. Lecture notes in computer science","first-page":"3","article-title":"CBAM: convolutional block attention module","volume":"11211","author":"Woo","year":"2018"},{"key":"ref18","series-title":"2021 IEEE Winter Conference on Applications of Computer Vision (WACV)","first-page":"3138","article-title":"Rotate to attend: convolutional triplet attention module","author":"Misra","year":"2021 Jan 3\u20138"},{"key":"ref19","series-title":"2017 IEEE International Conference on Computer Vision (ICCV)","first-page":"618","article-title":"Grad-CAM: visual explanations from deep networks via gradient-based localization","author":"Selvaraju","year":"2017 Oct 22\u201329"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-83-3\/TSP_CMC_61743\/TSP_CMC_61743.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:28:08Z","timestamp":1763342888000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v83n3\/60996"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":19,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.061743","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2024-12-02","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-03-11","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-05-19","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}