{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T10:55:28Z","timestamp":1780052128314,"version":"3.53.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61602202"],"award-info":[{"award-number":["61602202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61602202"],"award-info":[{"award-number":["61602202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s10586-024-04829-1","type":"journal-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T16:04:32Z","timestamp":1730736272000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Object detection in low-light conditions based on DBS-YOLOv8"],"prefix":"10.1007","volume":"28","author":[{"given":"Lei","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyan","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingya","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhewen","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,4]]},"reference":[{"issue":"18","key":"4829_CR1","first-page":"1","volume":"59","author":"Z Yangting","year":"2023","unstructured":"Yangting, Z., Deqi, H., Dongwei, W., Jiajia, H.: A review of research and application of object detection algorithms based on deep learning. J. Comput. Eng. Appl. 59(18), 1\u201313 (2023)","journal-title":"J. Comput. Eng. Appl."},{"key":"4829_CR2","doi-asserted-by":"publisher","first-page":"2305","DOI":"10.11834\/jig.200302","volume":"26","author":"Z Ke","year":"2021","unstructured":"Ke, Z., Xiaohan, F., Yurong, G., Yukun, S., Kai, Z., Zhenbing, Z., Zhanyu, M., Qiaolin, D.: A review of deep convolutional neural network models for image classification. J. Image Graph. 26, 2305\u20132325 (2021)","journal-title":"J. Image Graph."},{"key":"4829_CR3","doi-asserted-by":"crossref","unstructured":"Miller, D., Goode, G., Bennie, C., Moghadam, P., Jurdak, R.: Why object detectors fail: Investigating the influence of the dataset. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4823\u20134830 (2022)","DOI":"10.1109\/CVPRW56347.2022.00529"},{"key":"4829_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2022.108821","volume":"204","author":"MT Rasheed","year":"2023","unstructured":"Rasheed, M.T., Shi, D., Khan, H.: A comprehensive experiment-based review of low-light image enhancement methods and benchmarking low-light image quality assessment. Signal Proc. 204, 108821 (2023)","journal-title":"Signal Proc."},{"key":"4829_CR5","doi-asserted-by":"publisher","first-page":"87884","DOI":"10.1109\/ACCESS.2020.2992749","volume":"8","author":"W Wang","year":"2020","unstructured":"Wang, W., Wu, X., Yuan, X., Gao, Z.: An experiment-based review of low-light image enhancement methods. Ieee Access 8, 87884\u201387917 (2020)","journal-title":"Ieee Access"},{"key":"4829_CR6","unstructured":"Liu, X., Wu, Z., Li, A., Vasluianu, F.-A., Zhang, Y., Gu, S., Zhang, L., Zhu, C., Timofte, R., Jin, Z., et al.: Ntire 2024 challenge on low light image enhancement: Methods and results. arXiv preprint arXiv:2404.14248 (2024)"},{"key":"4829_CR7","doi-asserted-by":"crossref","unstructured":"Li, J., Fang, P.: Hdrnet: Single-image-based hdr reconstruction using channel attention cnn. In: Proceedings of the 2019 4th International Conference on Multimedia Systems and Signal Processing, pp. 119\u2013124 (2019)","DOI":"10.1145\/3330393.3330426"},{"key":"4829_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2022.861286","volume":"10","author":"J Yun","year":"2022","unstructured":"Yun, J., Jiang, D., Liu, Y., Sun, Y., Tao, B., Kong, J., Tian, J., Tong, X., Xu, M., Fang, Z.: Real-time target detection method based on lightweight convolutional neural network. Front. Bioeng. Biotechnol. 10, 861286 (2022)","journal-title":"Front. Bioeng. Biotechnol."},{"issue":"30","key":"4829_CR9","doi-asserted-by":"publisher","first-page":"44141","DOI":"10.1007\/s11042-022-13235-x","volume":"81","author":"Sneha","year":"2022","unstructured":"Sneha, Kaul, A.: Hyperspectral imaging and target detection algorithms: a review. Multimed. Tools Appl. 81(30), 44141\u201344206 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"4829_CR10","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1109\/TCI.2023.3240087","volume":"9","author":"S Yang","year":"2023","unstructured":"Yang, S., Zhou, D., Cao, J., Guo, Y.: Lightingnet: an integrated learning method for low-light image enhancement. IEEE Trans. Comput. Imaging 9, 29\u201342 (2023)","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"4829_CR11","doi-asserted-by":"crossref","unstructured":"Wang, X., Han, T.X., Yan, S.: An hog-lbp human detector with partial occlusion handling. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 32\u201339 (2009). IEEE","DOI":"10.1109\/ICCV.2009.5459207"},{"issue":"4","key":"4829_CR12","first-page":"143","volume":"3","author":"L Juan","year":"2009","unstructured":"Juan, L., Gwun, O.: A comparison of sift, pca-sift and surf. Int. J. Image Proc. (IJIP) 3(4), 143\u2013152 (2009)","journal-title":"Int. J. Image Proc. (IJIP)"},{"issue":"1","key":"4829_CR13","first-page":"41","volume":"15","author":"S Huang","year":"2018","unstructured":"Huang, S., Cai, N., Pacheco, P.P., Narrandes, S., Wang, Y., Xu, W.: Applications of support vector machine (svm) learning in cancer genomics. Cancer Genomics Proteomics 15(1), 41\u201351 (2018)","journal-title":"Cancer Genomics Proteomics"},{"issue":"6","key":"4829_CR14","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1016\/S1874-1029(13)60052-X","volume":"39","author":"C Ying","year":"2013","unstructured":"Ying, C., Qi-Guang, M., Jia-Chen, L., Lin, G.: Advance and prospects of adaboost algorithm. Acta Automatica Sinica 39(6), 745\u2013758 (2013)","journal-title":"Acta Automatica Sinica"},{"key":"4829_CR15","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Adv. Neural Information Proc. Syst. 25 (2012)"},{"key":"4829_CR16","unstructured":"Alom, M.Z., Taha, T.M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M.S., Van\u00a0Esesn, B.C., Awwal, A.A.S., Asari, V.K.: The history began from alexnet: A comprehensive survey on deep learning approaches. arXiv preprint arXiv:1803.01164 (2018)"},{"key":"4829_CR17","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"4829_CR18","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast r-cnn. arXiv preprint arXiv:1504.08083 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"issue":"6","key":"4829_CR19","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., Sun, J.: 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":"4829_CR20","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1016\/j.procs.2022.01.135","volume":"199","author":"P Jiang","year":"2022","unstructured":"Jiang, P., Ergu, D., Liu, F., Cai, Y., Ma, B.: A review of yolo algorithm developments. Procedia Comput. Sci. 199, 1066\u20131073 (2022)","journal-title":"Procedia Comput. Sci."},{"key":"4829_CR21","doi-asserted-by":"crossref","unstructured":"Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., Berg, A.C.: Ssd: Single shot multibox detector. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part I 14, pp. 21\u201337 (2016). Springer","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"4829_CR22","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Liao, H.-Y.M., Wu, Y.-H., Chen, P.-Y., Hsieh, J.-W., Yeh, I.-H.: Cspnet: A new backbone that can enhance learning capability of cnn. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 390\u2013391 (2020)","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"4829_CR23","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Wang, P., Liu, W., Li, J., Ye, R., Ren, D.: Distance-iou loss: Faster and better learning for bounding box regression. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 12993\u201313000 (2020)","DOI":"10.1609\/aaai.v34i07.6999"},{"key":"4829_CR24","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1706.03762","author":"A Vaswani","year":"2017","unstructured":"Vaswani, A.: Attention is all you need. Adv. Neural Information Proc. Syst. (2017). https:\/\/doi.org\/10.48550\/arXiv.1706.03762","journal-title":"Adv. Neural Information Proc. Syst."},{"key":"4829_CR25","doi-asserted-by":"crossref","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: European Conference on Computer Vision, pp. 213\u2013229 (2020). Springer","DOI":"10.1007\/978-3-030-58452-8_13"},{"issue":"3","key":"4829_CR26","first-page":"171","volume":"2","author":"MO Al-Hatmi","year":"2017","unstructured":"Al-Hatmi, M.O., Yousif, J.H.: A review of image enhancement systems and a case study of salt & pepper noise removing. Int. J. Comput. Appl. Sci. (IJOCAAS) 2(3), 171\u2013176 (2017)","journal-title":"Int. J. Comput. Appl. Sci. (IJOCAAS)"},{"issue":"12","key":"4829_CR27","first-page":"2341","volume":"33","author":"K He","year":"2010","unstructured":"He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Machine Intell. 33(12), 2341\u20132353 (2010)","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"issue":"6","key":"4829_CR28","doi-asserted-by":"publisher","first-page":"2828","DOI":"10.1109\/TIP.2018.2810539","volume":"27","author":"M Li","year":"2018","unstructured":"Li, M., Liu, J., Yang, W., Sun, X., Guo, Z.: Structure-revealing low-light image enhancement via robust Retinex model. IEEE Transactions on Image Processing 27(6), 2828\u20132841 (2018)","journal-title":"IEEE Transactions on Image Processing"},{"key":"4829_CR29","doi-asserted-by":"crossref","unstructured":"Nahari, R.V., Hasanah, M., Rahmanita, E., Alfita, R., Ulum, M.: Artificial intelligence optimization for low-light image enhancement. In: 2020 6th Information Technology International Seminar (ITIS), pp. 249\u2013252 (2020). IEEE","DOI":"10.1109\/ITIS50118.2020.9321089"},{"key":"4829_CR30","doi-asserted-by":"crossref","unstructured":"Jiang, K., Wang, Z., Wang, Z., Chen, C., Yi, P., Lu, T., Lin, C.-W.: Degrade is upgrade: Learning degradation for low-light image enhancement. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, pp. 1078\u20131086 (2022)","DOI":"10.1609\/aaai.v36i1.19992"},{"key":"4829_CR31","doi-asserted-by":"crossref","unstructured":"Lim, W.T., Ang, K., Loh, Y.P.: Deep enhancement-object features fusion for low-light object detection. In: Proceedings of the 4th ACM International Conference on Multimedia in Asia, pp. 1\u20136 (2022)","DOI":"10.1145\/3551626.3564947"},{"issue":"2","key":"4829_CR32","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2016","unstructured":"Guo, X., Li, Y., Ling, H.: Lime: low-light image enhancement via illumination map estimation. IEEE Trans. Image Proc. 26(2), 982\u2013993 (2016)","journal-title":"IEEE Trans. Image Proc."},{"issue":"1","key":"4829_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1364\/JOSA.61.000001","volume":"61","author":"EH Land","year":"1971","unstructured":"Land, E.H., McCann, J.J.: Lightness and retinex theory. Josa 61(1), 1\u201311 (1971)","journal-title":"Josa"},{"key":"4829_CR34","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1007\/s11263-020-01407-x","volume":"129","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Guo, X., Ma, J., Liu, W., Zhang, J.: Beyond brightening low-light images. Int. J. Comput. Vis. 129, 1013\u20131037 (2021)","journal-title":"Int. J. Comput. Vis."},{"key":"4829_CR35","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2310.17577","author":"J Hou","year":"2024","unstructured":"Hou, J., Zhu, Z., Hou, J., Liu, H., Zeng, H., Yuan, H.: Global structure-aware diffusion process for low-light image enhancement. Adv. Neural Information Proc. Syst. (2024). https:\/\/doi.org\/10.48550\/arXiv.2310.17577","journal-title":"Adv. Neural Information Proc. Syst."},{"key":"4829_CR36","doi-asserted-by":"crossref","unstructured":"Wu, Y., Pan, C., Wang, G., Yang, Y., Wei, J., Li, C., Shen, H.T.: Learning semantic-aware knowledge guidance for low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1662\u20131671 (2023)","DOI":"10.1109\/CVPR52729.2023.00166"},{"key":"4829_CR37","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"KG Lore","year":"2017","unstructured":"Lore, K.G., Akintayo, A., Sarkar, S.: Llnet: a deep autoencoder approach to natural low-light image enhancement. Pattern Recog. 61, 650\u2013662 (2017)","journal-title":"Pattern Recog."},{"key":"4829_CR38","doi-asserted-by":"publisher","first-page":"2340","DOI":"10.1109\/TIP.2021.3051462","volume":"30","author":"Y Jiang","year":"2021","unstructured":"Jiang, Y., Gong, X., Liu, D., Cheng, Y., Fang, C., Shen, X., Yang, J., Zhou, P., Wang, Z.: Enlightengan: deep light enhancement without paired supervision. IEEE Trans. Image Proc. 30, 2340\u20132349 (2021)","journal-title":"IEEE Trans. Image Proc."},{"key":"4829_CR39","doi-asserted-by":"crossref","unstructured":"Kalwar, S., Patel, D., Aanegola, A., Konda, K.R., Garg, S., Krishna, K.M.: Gdip: Gated differentiable image processing for object detection in adverse conditions. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 7083\u20137089 (2023). IEEE","DOI":"10.1109\/ICRA48891.2023.10160356"},{"key":"4829_CR40","doi-asserted-by":"crossref","unstructured":"Miao, Y., Liu, F., Hou, T., Liu, L., Liu, Y.: A nighttime vehicle detection method based on yolo v3. In: 2020 Chinese Automation Congress (CAC), pp. 6617\u20136621 (2020). IEEE","DOI":"10.1109\/CAC51589.2020.9326819"},{"key":"4829_CR41","doi-asserted-by":"crossref","unstructured":"Sasagawa, Y., Nagahara, H.: Yolo in the dark-domain adaptation method for merging multiple models. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXI 16, pp. 345\u2013359 (2020). Springer","DOI":"10.1007\/978-3-030-58589-1_21"},{"key":"4829_CR42","doi-asserted-by":"crossref","unstructured":"Chen, C., Chen, Q., Xu, J., Koltun, V.: Learning to see in the dark. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3291\u20133300 (2018)","DOI":"10.1109\/CVPR.2018.00347"},{"key":"4829_CR43","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: Yolo9000: better, faster, stronger. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7263\u20137271 (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"4829_CR44","doi-asserted-by":"crossref","unstructured":"Wang, W., Dai, J., Chen, Z., Huang, Z., Li, Z., Zhu, X., Hu, X., Lu, T., Lu, L., Li, H., et al.: Internimage: Exploring large-scale vision foundation models with deformable convolutions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14408\u201314419 (2023)","DOI":"10.1109\/CVPR52729.2023.01385"},{"issue":"9","key":"4829_CR45","doi-asserted-by":"publisher","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","volume":"37","author":"K He","year":"2015","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans. Pattern Anal. Machine Intell. 37(9), 1904\u20131916 (2015)","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"key":"4829_CR46","doi-asserted-by":"crossref","unstructured":"Zhu, L., Wang, X., Ke, Z., Zhang, W., Lau, R.W.: Biformer: Vision transformer with bi-level routing attention. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10323\u201310333 (2023)","DOI":"10.1109\/CVPR52729.2023.00995"},{"key":"4829_CR47","doi-asserted-by":"crossref","unstructured":"Bodla, N., Singh, B., Chellappa, R., Davis, L.S.: Soft-nms\u2013improving object detection with one line of code. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5561\u20135569 (2017)","DOI":"10.1109\/ICCV.2017.593"},{"key":"4829_CR48","unstructured":"Siliang, M., Yong, X.: Mpdiou: a loss for efficient and accurate bounding box regression. arXiv preprint arXiv:2307.07662 (2023)"},{"key":"4829_CR49","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.cviu.2018.10.010","volume":"178","author":"YP Loh","year":"2019","unstructured":"Loh, Y.P., Chan, C.S.: Getting to know low-light images with the exclusively dark dataset. Comput. Vision Image Underst. 178, 30\u201342 (2019)","journal-title":"Comput. Vision Image Underst."},{"key":"4829_CR50","doi-asserted-by":"crossref","unstructured":"Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., Savarese, S.: Generalized intersection over union: A metric and a loss for bounding box regression. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 658\u2013666 (2019)","DOI":"10.1109\/CVPR.2019.00075"},{"key":"4829_CR51","unstructured":"Redmon, J., Farhadi, A.: Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"4829_CR52","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7464\u20137475 (2023)","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"4829_CR53","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Lv, W., Xu, S., Wei, J., Wang, G., Dang, Q., Liu, Y., Chen, J.: Detrs beat yolos on real-time object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16965\u201316974 (2024)","DOI":"10.1109\/CVPR52733.2024.01605"},{"key":"4829_CR54","doi-asserted-by":"crossref","unstructured":"Cao, Y., Chen, K., Loy, C.C., Lin, D.: Prime sample attention in object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11583\u201311591 (2020)","DOI":"10.1109\/CVPR42600.2020.01160"},{"key":"4829_CR55","unstructured":"Tian, Z., Chu, X., Wang, X., Wei, X., Shen, C.: Fully convolutional one-stage 3d object detection on lidar range images. In: Proceedings of the 36th International Conference on Neural Information Processing Systems, pp. 34899\u201334911 (2022)"},{"key":"4829_CR56","doi-asserted-by":"crossref","unstructured":"Zhu, C., He, Y., Savvides, M.: Feature selective anchor-free module for single-shot object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 840\u2013849 (2019)","DOI":"10.1109\/CVPR.2019.00093"},{"key":"4829_CR57","unstructured":"Zhang, X., Wan, F., Liu, C., Ji, R., Ye, Q.: Freeanchor: Learning to match anchors for visual object detection. Adv. Neural Information Proc. Syst. 32 (2019)"},{"key":"4829_CR58","doi-asserted-by":"crossref","unstructured":"Zhang, H., Wang, Y., Dayoub, F., Sunderhauf, N.: Varifocalnet: An iou-aware dense object detector. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8514\u20138523 (2021)","DOI":"10.1109\/CVPR46437.2021.00841"},{"key":"4829_CR59","doi-asserted-by":"crossref","unstructured":"Tan, M., Pang, R., Le, Q.V.: Efficientdet: Scalable and efficient object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10781\u201310790 (2020)","DOI":"10.1109\/CVPR42600.2020.01079"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04829-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04829-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04829-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T15:15:49Z","timestamp":1736522149000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04829-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,4]]},"references-count":59,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["4829"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04829-1","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,4]]},"assertion":[{"value":"12 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 November 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"On behalf of all authors, the corresponding author states that there is no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"55"}}