{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T11:34:11Z","timestamp":1770464051726,"version":"3.49.0"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T00:00:00Z","timestamp":1765584000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T00:00:00Z","timestamp":1765584000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Real-Time Image Proc"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1007\/s11554-025-01819-3","type":"journal-article","created":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T04:59:22Z","timestamp":1765601962000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BVAMFPN: multi-scale feature fusion for rotated object detection in remote sensing based on biological visual attention mechanism"],"prefix":"10.1007","volume":"23","author":[{"given":"Zhiyou","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jingmin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yongchao","family":"Qiao","sequence":"additional","affiliation":[]},{"given":"Wenjie","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,12,13]]},"reference":[{"key":"1819_CR1","first-page":"1","volume":"60","author":"J Han","year":"2022","unstructured":"Han, J., Ding, J., Li, J., Xia, G.-S.: Align deep features for oriented object detection. IEEE Trans. Geosci. Remote Sens. 60, 1\u201311 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1819_CR2","doi-asserted-by":"crossref","unstructured":"Qian, W., Yang, X., Peng, S., Yan, J., Guo, Y.: Learning modulated loss for rotated object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 2458\u20132466 (2021)","DOI":"10.1609\/aaai.v35i3.16347"},{"key":"1819_CR3","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Xue, Q., He, Y., Bai, Y., Wei, X., Gong, Y.: Projecting points to axes: oriented object detection via point-axis representation. In: European Conference on Computer Vision, pp. 161\u2013179 (2025)","DOI":"10.1007\/978-3-031-73390-1_10"},{"key":"1819_CR4","doi-asserted-by":"crossref","unstructured":"Xia, G.-S., Bai, X., Ding, J., Zhu, Z., Belongie, S., Luo, J., Datcu, M., Pelillo, M., Zhang, L.: DOTA: a large-scale dataset for object detection in aerial images. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3974\u20133983 (2018)","DOI":"10.1109\/CVPR.2018.00418"},{"key":"1819_CR5","first-page":"581","volume":"11","author":"X Congan","year":"2022","unstructured":"Congan, X., Hang, S., Jianwei, L., Yu, L., Libo, Y., Long, G., Wenjun, Y., Taoyang, W.: RSDD-SAR: rotated ship detection dataset in SAR images. J. Radars 11, 581\u2013599 (2022)","journal-title":"J. Radars"},{"key":"1819_CR6","first-page":"1","volume":"62","author":"Y Tian","year":"2024","unstructured":"Tian, Y., Zhang, M., Li, J., Li, Y., Yang, H., Li, W.: FPNFormer: rethink the method of processing the rotation-invariance and rotation-equivariance on arbitrary-oriented object detection. IEEE Trans. Geosci. Remote Sens. 62, 1\u201310 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1819_CR7","unstructured":"Wang, X., Wang, G., Dang, Q., Liu, Y., Hu, X., Yu, D.: PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector (2022). arXiv:2211.02386"},{"key":"1819_CR8","doi-asserted-by":"crossref","unstructured":"Li, Y., Hou, Q., Zheng, Z., Cheng, M.-M., Yang, J., Li, X.: Large selective kernel network for remote sensing object detection. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 16748\u201316759 (2023)","DOI":"10.1109\/ICCV51070.2023.01540"},{"key":"1819_CR9","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Doll\u00e1r, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 936\u2013944 (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"1819_CR10","first-page":"1","volume":"61","author":"G Peng","year":"2023","unstructured":"Peng, G., Yang, Z., Wang, S., Zhou, Y.: AMFLW-YOLO: a lightweight network for remote sensing image detection based on attention mechanism and multiscale feature fusion. IEEE Trans. Geosci. Remote Sens. 61, 1\u201316 (2023)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1819_CR11","doi-asserted-by":"crossref","unstructured":"Tan, M., Pang, R., Le, Q.V.: EfficientDet: scalable and efficient object detection. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10778\u201310787 (2020)","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"1819_CR12","first-page":"1","volume":"63","author":"X Wang","year":"2025","unstructured":"Wang, X., Chen, H.: HPS-DETR: enhancing small object detection with lightweight feature extraction and transformer integration. IEEE Trans. Geosci. Remote Sens. 63, 1\u201320 (2025)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1819_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: hierarchical vision transformer using shifted windows. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 9992\u201310002 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"1819_CR14","doi-asserted-by":"crossref","unstructured":"Noman, M., Naseer, M., Cholakkal, H., Anwar, R.M., Khan, S., Khan, F.S.: Rethinking transformers pre-training for multi-spectral satellite imagery. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 27811\u201327819 (2024)","DOI":"10.1109\/CVPR52733.2024.02627"},{"key":"1819_CR15","first-page":"1","volume":"63","author":"J Zhao","year":"2025","unstructured":"Zhao, J., Zhang, M., Zhou, Z., Wang, Z., Lang, F., Shi, H., Zheng, N.: CFFormer: a cross-fusion transformer framework for the semantic segmentation of multisource remote sensing images. IEEE Trans. Geosci. Remote Sens. 63, 1\u201317 (2025)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1819_CR16","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39, 1137\u20131149 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1819_CR17","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 2999\u20133007 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"1819_CR18","doi-asserted-by":"crossref","unstructured":"Yang, X., Yan, J., Feng, Z., He, T.: R3DET: refined single-stage detector with feature refinement for rotating object. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 3163\u20133171 (2021)","DOI":"10.1609\/aaai.v35i4.16426"},{"key":"1819_CR19","doi-asserted-by":"crossref","unstructured":"Xie, X., Cheng, G., Wang, J., Yao, X., Han, J.: Oriented R-CNN for object detection. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 3500\u20133509 (2021)","DOI":"10.1109\/ICCV48922.2021.00350"},{"key":"1819_CR20","doi-asserted-by":"crossref","unstructured":"Pu, Y., Wang, Y., Xia, Z., Han, Y., Wang, Y., Gan, W., Wang, Z., Song, S., Huang, G.: Adaptive rotated convolution for rotated object detection. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 6589\u20136600 (2023)","DOI":"10.1109\/ICCV51070.2023.00606"},{"key":"1819_CR21","first-page":"1","volume":"63","author":"Q Lin","year":"2025","unstructured":"Lin, Q., Chen, N., Huang, H., Zhu, D., Fu, G., Chen, C., Yu, Y.: Attention-based mean-max balance assignment for oriented object detection in optical remote sensing images. IEEE Trans. Geosci. Remote Sens. 63, 1\u201315 (2025)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1819_CR22","doi-asserted-by":"crossref","unstructured":"Wang, W., Xie, E., Li, X., Fan, D.-P., Song, K., Liang, D., Lu, T., Luo, P., Shao, L.: Pyramid vision transformer: a versatile backbone for dense prediction without convolutions. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 548\u2013558 (2021)","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"1819_CR23","doi-asserted-by":"crossref","unstructured":"Shi, D.: Transnext: Robust foveal visual perception for vision transformers. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17773\u201317783 (2024)","DOI":"10.1109\/CVPR52733.2024.01683"},{"key":"1819_CR24","doi-asserted-by":"crossref","unstructured":"Liu, Z., Hu, H., Lin, Y., Yao, Z., Xie, Z., Wei, Y., Ning, J., Cao, Y., Zhang, Z., Dong, L., Wei, F., Guo, B.: Swin transformer V2: scaling up capacity and resolution. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11999\u201312009 (2022)","DOI":"10.1109\/CVPR52688.2022.01170"},{"key":"1819_CR25","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 6000\u20136010 (2017)"},{"key":"1819_CR26","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Yang, X., Zhang, G., Wang, J., Liu, Y., Hou, L., Jiang, X., Liu, X., Yan, J., Lyu, C., Zhang, W., Chen, K.: MMRotate: a rotated object detection benchmark using PyTorch. In: 2022 ACM International Conference on Multimedia (ACM MM), pp. 7331\u20137334 (2022)","DOI":"10.1145\/3503161.3548541"},{"key":"1819_CR27","unstructured":"Hendrycks, D., Gimpel, K.: Gaussian Error Linear Units (GELUs) (2023). arXiv:1606.08415"},{"key":"1819_CR28","doi-asserted-by":"crossref","unstructured":"Ming, Q., Zhou, Z., Miao, L., Zhang, H., Li, L.: Dynamic anchor learning for arbitrary-oriented object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 2355\u20132363 (2021)","DOI":"10.1609\/aaai.v35i3.16336"},{"key":"1819_CR29","doi-asserted-by":"publisher","first-page":"2342","DOI":"10.1109\/TCSVT.2022.3222906","volume":"33","author":"L Dai","year":"2023","unstructured":"Dai, L., Liu, H., Tang, H., Wu, Z., Song, P.: AO2-DETR: arbitrary-oriented object detection transformer. IEEE Trans. Circuits Syst. Video Technol. 33, 2342\u20132356 (2023)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1819_CR30","doi-asserted-by":"crossref","unstructured":"Ding, J., Xue, N., Long, Y., Xia, G.-S., Lu, Q.: Learning ROI transformer for oriented object detection in aerial images. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2844\u20132853 (2019)","DOI":"10.1109\/CVPR.2019.00296"},{"key":"1819_CR31","doi-asserted-by":"crossref","unstructured":"Yang, X., Yang, J., Yan, J., Zhang, Y., Zhang, T., Guo, Z., Sun, X., Fu, K.: SCRDET: towards more robust detection for small, cluttered and rotated objects. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 8231\u20138240 (2019)","DOI":"10.1109\/ICCV.2019.00832"},{"key":"1819_CR32","doi-asserted-by":"crossref","unstructured":"Yang, X., Yan, J.: Arbitrary-oriented object detection with circular smooth label. In: 2020 European Conference on Computer Vision (ECCV), pp. 677\u2013694 (2020)","DOI":"10.1007\/978-3-030-58598-3_40"},{"key":"1819_CR33","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1109\/TPAMI.2020.2974745","volume":"43","author":"Y Xu","year":"2021","unstructured":"Xu, Y., Fu, M., Wang, Q., Wang, Y., Chen, K., Xia, G.-S., Bai, X.: Gliding vertex on the horizontal bounding box for multi-oriented object detection. IEEE Trans. Pattern Anal. Mach. Intell. 43, 1452\u20131459 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1819_CR34","doi-asserted-by":"crossref","unstructured":"Pan, X., Ren, Y., Sheng, K., Dong, W., Yuan, H., Guo, X., Ma, C., Xu, C.: Dynamic refinement network for oriented and densely packed object detection. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 11204\u201311213 (2020)","DOI":"10.1109\/CVPR42600.2020.01122"},{"key":"1819_CR35","doi-asserted-by":"crossref","unstructured":"Guo, Z., Liu, C., Zhang, X., Jiao, J., Ji, X., Ye, Q.: Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection. In: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8788\u20138797 (2021)","DOI":"10.1109\/CVPR46437.2021.00868"},{"key":"1819_CR36","doi-asserted-by":"crossref","unstructured":"Li, W., Chen, Y., Hu, K., Zhu, J.: Oriented RepPoints for aerial object detection. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1819\u20131828 (2022)","DOI":"10.1109\/CVPR52688.2022.00187"},{"key":"1819_CR37","doi-asserted-by":"crossref","unstructured":"Chen, K., Pang, J., Wang, J., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Shi, J., Ouyang, W., Loy, C.C., Lin, D.: Hybrid task cascade for instance segmentation. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4969\u20134978 (2019)","DOI":"10.1109\/CVPR.2019.00511"},{"key":"1819_CR38","unstructured":"Lang, S., Ventola, F., Kersting, K.: DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection (2022). arXiv:2109.06148"},{"key":"1819_CR39","doi-asserted-by":"crossref","unstructured":"Cai, X., Lai, Q., Wang, Y., Wang, W., Sun, Z., Yao, Y.: Poly kernel inception network for remote sensing detection. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 27706\u201327716 (2024)","DOI":"10.1109\/CVPR52733.2024.02617"}],"container-title":["Journal of Real-Time Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-025-01819-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11554-025-01819-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-025-01819-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T16:52:23Z","timestamp":1770396743000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11554-025-01819-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,13]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["1819"],"URL":"https:\/\/doi.org\/10.1007\/s11554-025-01819-3","relation":{},"ISSN":["1861-8200","1861-8219"],"issn-type":[{"value":"1861-8200","type":"print"},{"value":"1861-8219","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,13]]},"assertion":[{"value":"25 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 December 2025","order":3,"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 conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"26"}}