{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:01:39Z","timestamp":1780531299236,"version":"3.54.1"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T00:00:00Z","timestamp":1779235200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T00:00:00Z","timestamp":1779235200000},"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":["SIViP"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s11760-026-05383-6","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T05:41:41Z","timestamp":1779255701000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on roadway pallet recognition method for complex scenarios in underground coal mines"],"prefix":"10.1007","volume":"20","author":[{"given":"Lisen","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingrui","family":"Hao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yueqi","family":"Bi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qu","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaran","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,20]]},"reference":[{"issue":"1","key":"5383_CR1","doi-asserted-by":"publisher","first-page":"63","DOI":"10.3390\/s25010063","volume":"25","author":"Y Liang","year":"2024","unstructured":"Liang, Y., Liu, Y., Lu, C., Cui, D., Yang, J., Zhou, R.: Research on intelligent monitoring and protection equipment of vital signs of underground personnel in coal mines. Sensors (Basel, Switzerland) 25(1), 63 (2024)","journal-title":"Sensors (Basel, Switzerland)"},{"issue":"3","key":"5383_CR2","doi-asserted-by":"publisher","first-page":"882","DOI":"10.52783\/jes.3019","volume":"20","author":"S Tang","year":"2024","unstructured":"Tang, S., Ibrahim, M.D., Rigit, A.R.H., Zhang, W., Wei, C.: A systematic review of dust suppression methods by experiment based on intelligent technology in the coal mines. Journal of Electrical Systems 20(3), 882\u2013893 (2024)","journal-title":"Journal of Electrical Systems"},{"key":"5383_CR3","unstructured":"Zhang, K.: Research on space pose detection method of roadheader based on roof vision. Master\u2019s thesis, China Coal Research Institute (2021). In Chinese"},{"key":"5383_CR4","unstructured":"Tian, W.: Research and experiment of roadheader positioning method based on vision-inertial navigation combination. Master\u2019s thesis, China Coal Research Institute (2022). In Chinese"},{"issue":"1","key":"5383_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.3390\/machines13010033","volume":"13","author":"W Liu","year":"2025","unstructured":"Liu, W., Hu, J., Qi, J.: Resistance spot welding defect detection based on visual inspection: Improved faster r-cnn model. Machines 13(1), 33 (2025)","journal-title":"Machines"},{"issue":"11","key":"5383_CR6","doi-asserted-by":"publisher","first-page":"2440","DOI":"10.3390\/electronics12112440","volume":"12","author":"Y Li","year":"2023","unstructured":"Li, Y., He, L., Zhang, M., Cheng, Z., Liu, W., Wu, Z.: Improving the performance of the single shot multibox detector for steel surface defects with context fusion and feature refinement. Electronics 12(11), 2440 (2023)","journal-title":"Electronics"},{"key":"5383_CR7","doi-asserted-by":"crossref","unstructured":"Jiang, P., Ergu, D., Liu, F., Cai, Y., Ma, B.: A review of yolo algorithm developments. In: Procedia Computer Science, vol. 199, 1066\u20131073 (2022)","DOI":"10.1016\/j.procs.2022.01.135"},{"key":"5383_CR8","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Chen, S., Wang, Y., Huan, W.: Review of research on lightweight convolutional neural networks. In: 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC), 1713\u20131720 (2020)","DOI":"10.1109\/ITOEC49072.2020.9141847"},{"key":"5383_CR9","doi-asserted-by":"crossref","unstructured":"Sinha, D., El-Sharkawy, M.: Thin mobilenet: An enhanced mobilenet architecture. In: 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 0280\u20130285 (2019)","DOI":"10.1109\/UEMCON47517.2019.8993089"},{"key":"5383_CR10","doi-asserted-by":"crossref","unstructured":"Chen, Y., Dai, X., Chen, D., Liu, M., Dong, X., Yuan, L., Liu, Z.: Mobile-former: Bridging mobilenet and transformer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 5270\u20135279 (2022)","DOI":"10.1109\/CVPR52688.2022.00520"},{"key":"5383_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2022.100399","volume":"10","author":"M Tsivgoulis","year":"2022","unstructured":"Tsivgoulis, M., Papastergiou, T., Megalooikonomou, V.: An improved squeezenet model for the diagnosis of lung cancer in ct scans. Machine Learning with Applications 10, 100399 (2022)","journal-title":"Machine Learning with Applications"},{"key":"5383_CR12","doi-asserted-by":"crossref","unstructured":"MS, M., SS, S.R.: Optimal squeeze net with deep neural network-based arial image classification model in unmanned aerial vehicles. Traitement du Signal 39(1) (2022)","DOI":"10.18280\/ts.390128"},{"issue":"1","key":"5383_CR13","doi-asserted-by":"publisher","first-page":"36","DOI":"10.3390\/wevj16010036","volume":"16","author":"L Wang","year":"2025","unstructured":"Wang, L., Zhu, F., Jiang, F., Yang, Y.: Power converter fault detection using mlca\u2013spikingshufflenet. World Electric Vehicle Journal 16(1), 36 (2025)","journal-title":"World Electric Vehicle Journal"},{"key":"5383_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2021.106090","volume":"178","author":"Z Chen","year":"2022","unstructured":"Chen, Z., Yang, J., Chen, L., Jiao, H.: Garbage classification system based on improved shufflenet v2. Resour. Conserv. Recycl. 178, 106090 (2022)","journal-title":"Resour. Conserv. Recycl."},{"key":"5383_CR15","doi-asserted-by":"publisher","first-page":"113599","DOI":"10.1109\/ACCESS.2021.3105112","volume":"9","author":"Y Fu","year":"2021","unstructured":"Fu, Y., Song, J., Xie, F., Bai, Y., Zheng, X., Gao, P., Wang, Z., Xie, S.: Circular fruit and vegetable classification based on optimized googlenet. IEEE Access 9, 113599\u2013113611 (2021)","journal-title":"IEEE Access"},{"key":"5383_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.107543","volume":"204","author":"L Yang","year":"2023","unstructured":"Yang, L., Yu, X., Zhang, S., Long, H., Zhang, H., Xu, S., Liao, Y.: Googlenet based on residual network and attention mechanism identification of rice leaf diseases. Comput. Electron. Agric. 204, 107543 (2023)","journal-title":"Comput. Electron. Agric."},{"issue":"2","key":"5383_CR17","doi-asserted-by":"publisher","first-page":"890","DOI":"10.3390\/app15020890","volume":"15","author":"S Youm","year":"2025","unstructured":"Youm, S., Go, S.: Lightweight and efficient csi-based human activity recognition via bayesian optimization-guided architecture search and structured pruning. Appl. Sci. 15(2), 890 (2025)","journal-title":"Appl. Sci."},{"issue":"2","key":"5383_CR18","doi-asserted-by":"publisher","first-page":"122","DOI":"10.3390\/agriculture15020122","volume":"15","author":"H Sun","year":"2025","unstructured":"Sun, H., Tan, S., Luo, Z., Yin, Y., Cao, C., Zhou, K., Zhu, L.: Development of a lightweight model for rice plant counting and localization using uav-captured rgb imagery. Agriculture 15(2), 122 (2025)","journal-title":"Agriculture"},{"issue":"12","key":"5383_CR19","doi-asserted-by":"publisher","first-page":"10374","DOI":"10.1109\/TNNLS.2022.3166101","volume":"34","author":"Y Jiang","year":"2022","unstructured":"Jiang, Y., Wang, S., Valls, V., Ko, B.J., Lee, W.H., Leung, K.K., Tassiulas, L.: Model pruning enables efficient federated learning on edge devices. IEEE Transactions on Neural Networks and Learning Systems 34(12), 10374\u201310386 (2022)","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"5383_CR20","doi-asserted-by":"crossref","unstructured":"Boo, Y., Shin, S., Sung, W.: Memorization capacity of deep neural networks under parameter quantization. In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1383\u20131387 (2019)","DOI":"10.1109\/ICASSP.2019.8682462"},{"key":"5383_CR21","doi-asserted-by":"crossref","unstructured":"Kryzhanovskiy, V., Balitskiy, G., Kozyrskiy, N., Zuruev, A.: Qpp: Real-time quantization parameter prediction for deep neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10684\u201310692 (2021)","DOI":"10.1109\/CVPR46437.2021.01054"},{"key":"5383_CR22","unstructured":"Piratla, V., Netrapalli, P., Sarawagi, S.: Efficient domain generalization via common-specific low-rank decomposition. In: International Conference on Machine Learning, 7728\u20137738 (2020)"},{"issue":"12","key":"5383_CR23","doi-asserted-by":"publisher","first-page":"2889","DOI":"10.1109\/TPAMI.2018.2873305","volume":"41","author":"S Lin","year":"2018","unstructured":"Lin, S., Ji, R., Chen, C., Tao, D., Luo, J.: Holistic cnn compression via low-rank decomposition with knowledge transfer. IEEE Trans. Pattern Anal. Mach. Intell. 41(12), 2889\u20132905 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"5383_CR24","doi-asserted-by":"publisher","first-page":"493","DOI":"10.3390\/app15020493","volume":"15","author":"JH Lee","year":"2025","unstructured":"Lee, J.H., Vu, D.T., Lee, N.K., Shin, I.H., Kim, J.Y.: Advancing model explainability: Visual concept knowledge distillation for concept bottleneck models kim. Appl. Sci. 15(2), 493 (2025)","journal-title":"Appl. Sci."},{"issue":"1","key":"5383_CR25","doi-asserted-by":"publisher","first-page":"191","DOI":"10.3390\/s25010191","volume":"25","author":"R Zhao","year":"2025","unstructured":"Zhao, R., Fan, Y., Li, Y., Zhang, D., Gao, F., Gao, Z., Yang, Z.: Knowledge distillation-enhanced behavior transformer for decision-making of autonomous driving. Sensors (Basel, Switzerland) 25(1), 191 (2025)","journal-title":"Sensors (Basel, Switzerland)"},{"issue":"6","key":"5383_CR26","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1007\/s11263-021-01453-z","volume":"129","author":"J Gou","year":"2021","unstructured":"Gou, J., Yu, B., Maybank, S.J., Tao, D.: Knowledge distillation: A survey. Int. J. Comput. Vision 129(6), 1789\u20131819 (2021)","journal-title":"Int. J. Comput. Vision"},{"key":"5383_CR27","doi-asserted-by":"crossref","unstructured":"Rezatofighi, H., Tsoi, N., Gwak, J.Y.: Generalized intersection over union: a metric and a loss for bounding box regression. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 658\u2013666 (2019)","DOI":"10.1109\/CVPR.2019.00075"},{"key":"5383_CR28","doi-asserted-by":"crossref","unstructured":"Olukanmi, P.O., Nelwamondo, F., Marwala, T.: k-means-lite plus plus: The combined advantage of sampling and seeding. In: Proceedings of the 2019 6th International Conference on Soft Computing & Machine Intelligence, Johannesburg, South Africa, 223\u2013227 (2019)","DOI":"10.1109\/ISCMI47871.2019.9004300"},{"key":"5383_CR29","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: Cbam: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"5383_CR30","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. In: Advances in Neural Information Processing Systems, Montreal, 1269\u20131277 (2015)"},{"key":"5383_CR31","doi-asserted-by":"publisher","first-page":"166870","DOI":"10.1109\/ACCESS.2020.3021711","volume":"8","author":"JW Jung","year":"2020","unstructured":"Jung, J.W., Heo, H.S., Shim, H.J., Yu, H.J.: Knowledge distillation in acoustic scene classification. IEEE Access 8, 166870\u2013166879 (2020)","journal-title":"IEEE Access"},{"key":"5383_CR32","doi-asserted-by":"crossref","unstructured":"Ho, T.K.K., Gwak, J.: Utilizing knowledge distillation in deep learning for classification of chest x-ray abnormalities. IEEE Access 8, 160749\u2013160761 (2020)","DOI":"10.1109\/ACCESS.2020.3020802"},{"key":"5383_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103177","volume":"71","author":"W Chen","year":"2022","unstructured":"Chen, W., Gao, L., Li, X., Shen, W.: Lightweight convolutional neural network with knowledge distillation for cervical cells classification. Biomed. Signal Process. Control 71, 103177 (2022)","journal-title":"Biomed. Signal Process. Control"},{"key":"5383_CR34","first-page":"742","volume":"30","author":"G Chen","year":"2017","unstructured":"Chen, G., Choi, W., Yu, X., Han, T., Chandraker, M.: Learning efficient object detection models with knowledge distillation. Adv. Neural. Inf. Process. Syst. 30, 742\u2013751 (2017)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"16","key":"5383_CR35","doi-asserted-by":"publisher","first-page":"3523","DOI":"10.3390\/s19163523","volume":"19","author":"L Zhang","year":"2019","unstructured":"Zhang, L., Zhang, Y., Zhang, Z., Shen, J., Wang, H.: Real-time water surface object detection based on improved faster r-cnn. Sensors 19(16), 3523 (2019)","journal-title":"Sensors"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-026-05383-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-026-05383-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-026-05383-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T23:11:37Z","timestamp":1780528297000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-026-05383-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,20]]},"references-count":35,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["5383"],"URL":"https:\/\/doi.org\/10.1007\/s11760-026-05383-6","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,20]]},"assertion":[{"value":"21 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 April 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2026","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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All applicable institutional and\/or national guidelines for the care and use of animals were followed.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"344"}}