{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T03:42:18Z","timestamp":1759981338873,"version":"build-2065373602"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T00:00:00Z","timestamp":1757462400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T00:00:00Z","timestamp":1757462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1","award":["62161019,62061024","62161019,62061024"],"award-info":[{"award-number":["62161019,62061024","62161019,62061024"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s11760-025-04675-7","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T08:22:41Z","timestamp":1757492561000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A two-way feature fusion Ochotona curzoniae object detection model based on information interaction"],"prefix":"10.1007","volume":"19","author":[{"given":"Haiyan","family":"Chen","sequence":"first","affiliation":[]},{"given":"Zhenxiao","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,10]]},"reference":[{"issue":"9","key":"4675_CR1","first-page":"2537","volume":"35","author":"X Pan","year":"2016","unstructured":"Pan, X., Mi, M.W.D.: Advances in the ecological study of ochotona curzoniae. Chin. J. Ecol. 35(9), 2537\u20132543 (2016)","journal-title":"Chin. J. Ecol."},{"issue":"4","key":"4675_CR2","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1111\/j.1469-1795.1999.tb00069.x","volume":"2","author":"AT Smith","year":"1999","unstructured":"Smith, A.T., Marc Foggin, J.: The ochotona curzoniae (Ochotona curzoniae) is a keystone species for biodiversity on the tibetan plateau. Anim. Conserv. 2(4), 235\u2013240 (1999)","journal-title":"Anim. Conserv."},{"issue":"7","key":"4675_CR3","first-page":"7","volume":"48","author":"H Chen","year":"2020","unstructured":"Chen, H., Chen, G.: Object detection of ochotona curzoniae based on semantic segmentation. Journal of Huazhong University of Science and Technology (Natural Science Edition) 48(7), 7\u201312 (2020)","journal-title":"Journal of Huazhong University of Science and Technology (Natural Science Edition)"},{"issue":"38","key":"4675_CR4","first-page":"170","volume":"S01","author":"H Chen","year":"2022","unstructured":"Chen, H., Zhen, X., Zhao, T.: An adaptive image fusion data augmentation method for object detection of ochotona curzoniae. Transactions of the Chinese Society of Agricultural Engineering S01(38), 170\u2013175 (2022)","journal-title":"Transactions of the Chinese Society of Agricultural Engineering"},{"key":"4675_CR5","doi-asserted-by":"crossref","unstructured":"Dalal, Navneet, Triggs, Bill; Histograms of oriented gradients for human detection. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201905), volume\u00a01, pages 886\u2013893. IEEE, (2005)","DOI":"10.1109\/CVPR.2005.177"},{"key":"4675_CR6","doi-asserted-by":"crossref","unstructured":"Lin, Tsung-Yi, Dollar, Piotr, Girshick, Ross; et\u00a0al. Feature pyramid networks for object detection. In 30th IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 936\u2013944, (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"4675_CR7","doi-asserted-by":"crossref","unstructured":"Ghaisi, Golnaz, Lin, Tsung-Yi, Pang, Ruoming; et\u00a0al. Nas-fpn: Learning scalable feature pyramid architecture for object detection. arXiv preprint arXiv:1904.07392, (2019)","DOI":"10.1109\/CVPR.2019.00720"},{"key":"4675_CR8","doi-asserted-by":"crossref","unstructured":"Pang, Jiangmiao, Chen, Kai, Shi, Jianping; et\u00a0al. Libra r-cnn: Towards balanced learning for object detection. arXiv preprint arXiv:1904.08900, (2019)","DOI":"10.1109\/CVPR.2019.00091"},{"key":"4675_CR9","doi-asserted-by":"crossref","unstructured":"Redmon, Joseph, Divvala, Santosh, Girshick, Ross; et\u00a0al. You only look once: Unified, real-time object detection. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 779\u2013788, (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"4675_CR10","unstructured":"Yang, Zekun, Peng, Chao, Li, Zeming, Zhang, Xiangyu, Sun, Jian; Querydet-plus: Cascading sparse query for accelerating high-resolution small object detection. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2024)"},{"key":"4675_CR11","unstructured":"Liu, Yuxuan, Chen, Hao, Wang, Tiancai, Zhao, Hang, Liu, Yun; Sparsedet: Efficient sparse query-centric network for small object detection. In Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), (2023)"},{"issue":"8","key":"4675_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11227-025-07476-4","volume":"81","author":"Y Cui","year":"2025","unstructured":"Cui, Y., Duan, P., Li, J.: DFGIC-Net: Diffusion feature-guided information complementary network for infrared and visible light fusion. J. Supercomput. 81(8), 1\u201337 (2025)","journal-title":"J. Supercomput."},{"key":"4675_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Shu, Qi, Lei, Qin, Huaijie, et\u00a0al. Path aggregation network for instance segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 8759\u20138768, (2018)","DOI":"10.1109\/CVPR.2018.00913"},{"key":"4675_CR14","first-page":"117","volume":"59","author":"P Wang","year":"2023","unstructured":"Wang, P., Wang, Y.L., Jiao, B.W., et al.: Research on road target detection algorithm based on yolov5. Comput. Eng. Appl. 59, 117\u2013125 (2023)","journal-title":"Comput. Eng. Appl."},{"issue":"11","key":"4675_CR15","first-page":"61","volume":"47","author":"YJ Zhou","year":"2021","unstructured":"Zhou, Y.J., Xu, S.Y., Huang, Y.R., et al.: Conveyor belt damage detection method based on improved yolov4. Journal of Mine Automation 47(11), 61\u201365 (2021)","journal-title":"Journal of Mine Automation"},{"issue":"12","key":"4675_CR16","first-page":"346","volume":"60","author":"Q Haicheng","year":"2024","unstructured":"Haicheng, Q., Wang, M., Chai, R.: Efficient vehicle detection in remote sensing images based on bidirectional multi-scale feature fusion. Comput. Eng. Appl. 60(12), 346\u2013356 (2024)","journal-title":"Comput. Eng. Appl."},{"key":"4675_CR17","doi-asserted-by":"crossref","unstructured":"Tan, Mingxing, Pang, Ruoming, Le, Quoc\u00a0V. Efficientdet: Scalable and efficient object detection. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10778\u201310787, (2020)","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"4675_CR18","doi-asserted-by":"crossref","unstructured":"Guo, Chaoxu , Fan, Bin, Zhang, Qian; et\u00a0al. Augfpn: Improving multi-scale feature learning for object detection. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 12592\u201312601, (2020)","DOI":"10.1109\/CVPR42600.2020.01261"},{"issue":"13","key":"4675_CR19","doi-asserted-by":"publisher","first-page":"4088","DOI":"10.3390\/s24134088","volume":"24","author":"C Wang","year":"2024","unstructured":"Wang, C., Wang, Y.: Slga-yolo: A lightweight castings surface defect detection method based on fusion-enhanced attention mechanism and self-architecture. SENSORS 24(13), 4088\u20134088 (2024)","journal-title":"SENSORS"},{"issue":"13","key":"4675_CR20","doi-asserted-by":"publisher","first-page":"2465","DOI":"10.3390\/rs16132465","volume":"16","author":"JJ Ni","year":"2024","unstructured":"Ni, J.J., Zhu, S.J., Tang, G.Y., et al.: A small-object detection model based on improved yolov8s for uav image scenarios. Remote Sensing 16(13), 2465\u20132475 (2024)","journal-title":"Remote Sensing"},{"key":"4675_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, X., Xu, C., Fan, G., et al.: FSCMF: A Dual-Branch Frequency-Spatial Joint Perception Cross-Modality Network for visible and infrared image fusion. Neurocomputing 641, 130376 (2025)","DOI":"10.1016\/j.neucom.2025.130376"},{"key":"4675_CR22","doi-asserted-by":"crossref","unstructured":"Liu, XD., Zhang, H., Gong, W.: et\u00a0al. Yolo-pdnet: Small target recognition improvement for remote sensing image based on yolov8. In 2024 International Joint Conference on Neural Networks (IJCNN), pages 1\u20139. IEEE, (2024)","DOI":"10.1109\/IJCNN60899.2024.10650721"},{"key":"4675_CR23","doi-asserted-by":"publisher","first-page":"133529","DOI":"10.1109\/ACCESS.2019.2941547","volume":"7","author":"QC Mao","year":"2019","unstructured":"Mao, Q.C., Sun, H.M., Liu, Y.B., et al.: Mini-yolov3: real-time object detector for embedded applications. IEEE Access 7, 133529\u2013133538 (2019)","journal-title":"IEEE Access"},{"issue":"10","key":"4675_CR24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0259283","volume":"16","author":"W Wu","year":"2021","unstructured":"Wu, W., Liu, H., Li, L., et al.: Application of local fully convolutional neural network combined with yolo v5 algorithm in small target detection of remote sensing image. PLoS ONE 16(10), e0259283 (2021)","journal-title":"PLoS ONE"},{"issue":"6","key":"4675_CR25","doi-asserted-by":"publisher","first-page":"3161","DOI":"10.3390\/s23063161","volume":"23","author":"S Norkobil Saydirasulovich","year":"2023","unstructured":"Norkobil Saydirasulovich, S., Abdusalomov, A., Jamil, M.K., et al.: A yolov6-based improved fire detection approach for smart city environments. Sensors 23(6), 3161 (2023)","journal-title":"Sensors"},{"issue":"16","key":"4675_CR26","doi-asserted-by":"publisher","first-page":"7190","DOI":"10.3390\/s23167190","volume":"23","author":"G Wang","year":"2023","unstructured":"Wang, G., Chen, Y., An, P., et al.: Uav-yolov8: A small-object-detection model based on improved yolov8 for uav aerial photography scenarios. Sensors 23(16), 7190 (2023)","journal-title":"Sensors"},{"key":"4675_CR27","doi-asserted-by":"publisher","first-page":"24344","DOI":"10.1109\/ACCESS.2020.2971026","volume":"8","author":"S Zhai","year":"2020","unstructured":"Zhai, S., Shang, D., Wang, S., et al.: Df-ssd: An improved ssd object detection algorithm based on densenet and feature fusion. IEEE Access 8, 24344\u201324357 (2020)","journal-title":"IEEE Access"},{"issue":"6","key":"4675_CR28","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2016","unstructured":"Ren, S., He, K., Girshick, R., et al.: Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4675_CR29","doi-asserted-by":"crossref","unstructured":"Hu, M., Li, Y., Fang, L.: et\u00a0al. A2-fpn: Attention aggregation based feature pyramid network for instance segmentation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pages 15343\u201315352, (2021)","DOI":"10.1109\/CVPR46437.2021.01509"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04675-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04675-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04675-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T03:27:00Z","timestamp":1759980420000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04675-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,10]]},"references-count":29,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["4675"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04675-7","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2025,9,10]]},"assertion":[{"value":"5 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 September 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1070"}}