{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T16:43:54Z","timestamp":1782751434803,"version":"3.54.5"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004750","name":"Aeronautical Science Foundation of China","doi-asserted-by":"publisher","award":["2022Z071077002"],"award-info":[{"award-number":["2022Z071077002"]}],"id":[{"id":"10.13039\/501100004750","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["LH2021F026"],"award-info":[{"award-number":["LH2021F026"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["HIT.NSRIF202243"],"award-info":[{"award-number":["HIT.NSRIF202243"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Multimed Info Retr"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1007\/s13735-026-00412-z","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T15:44:15Z","timestamp":1782747855000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Zero-shot quantization for object detection via scene-aware synthesis and instance-guided alignment"],"prefix":"10.1007","volume":"15","author":[{"given":"Ximing","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5709-6862","authenticated-orcid":false,"given":"Xiaoguang","family":"Di","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maozhen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoxun","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,29]]},"reference":[{"issue":"6","key":"412_CR1","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 (2016) Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39(6):1137\u20131149","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"412_CR2","doi-asserted-by":"crossref","unstructured":"He K, Gkioxari G, Doll\u00e1r P, Girshick R (2017) Mask r-cnn. Proceedings of the IEEE International Conference on Computer Vision. pp 2961\u20132969","DOI":"10.1109\/ICCV.2017.322"},{"key":"412_CR3","doi-asserted-by":"crossref","unstructured":"Tan M, Pang R, Le QV (2020) Efficientdet: Scalable and efficient object detection. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 10781\u201310790","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"412_CR4","doi-asserted-by":"crossref","unstructured":"Carion N, Massa F, Synnaeve G, Usunier N, Kirillov A, Zagoruyko S (2020) End-to-end object detection with transformers. European Conference on Computer Vision. Springer, pp 213\u2013229","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"412_CR5","unstructured":"Dosovitskiy A (2020) An image is worth 16x16 words: Transformers for image recognition at scale.arXiv:2010.11929 arXiv preprint"},{"key":"412_CR6","doi-asserted-by":"crossref","unstructured":"Liu Z, Lin Y, Cao Y, Hu H, Wei Y, Zhang Z, Lin S, Guo B (2021) Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"412_CR7","doi-asserted-by":"crossref","unstructured":"Wu J, Leng C, Wang Y, Hu Q, Cheng J (2016) Quantized convolutional neural networks for mobile devices. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp 4820\u20134828","DOI":"10.1109\/CVPR.2016.521"},{"key":"412_CR8","doi-asserted-by":"crossref","unstructured":"Wei Y, Pan X, Qin H, Ouyang W, Yan J (2018) Quantization mimic: Towards very tiny cnn for object detection. Proceedings of the European Conference on Computer Vision (ECCV). pp 267\u2013283","DOI":"10.1007\/978-3-030-01237-3_17"},{"key":"412_CR9","doi-asserted-by":"crossref","unstructured":"Li R, Wang Y, Liang F, Qin H, Yan J, Fan R (2019) Fully quantized network for object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2810\u20132819","DOI":"10.1109\/CVPR.2019.00292"},{"key":"412_CR10","first-page":"4091","volume":"33","author":"Z Yang","year":"2020","unstructured":"Yang Z, Wang Y, Han K, Xu C, Xu C, Tao D, Xu C (2020) Searching for low-bit weights in quantized neural networks. Adv Neural Inf Process Syst 33:4091\u20134102","journal-title":"Adv Neural Inf Process Syst"},{"key":"412_CR11","doi-asserted-by":"crossref","unstructured":"Jacob B, Kligys S, Chen B, Zhu M, Tang M, Howard A, Adam H, Kalenichenko D (2018) Quantization and training of neural networks for efficient integer-arithmetic-only inference. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp 2704\u20132713","DOI":"10.1109\/CVPR.2018.00286"},{"key":"412_CR12","unstructured":"Esser SK, McKinstry JL, Bablani D, Appuswamy R, Modha DS (2019) Learned step size quantization. arXiv preprint arXiv:1902.08153"},{"key":"412_CR13","doi-asserted-by":"crossref","unstructured":"Bhalgat Y, Lee J, Nagel M, Blankevoort T, Kwak N (2020) Lsq+: Improving low-bit quantization through learnable offsets and better initialization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 696\u2013697","DOI":"10.1109\/CVPRW50498.2020.00356"},{"key":"412_CR14","doi-asserted-by":"crossref","unstructured":"Yin H, Molchanov P, Alvarez JM, Li Z, Mallya A, Hoiem D, Jha NK, Kautz J (2020) Dreaming to distill: Data-free knowledge transfer via deepinversion. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 8715\u20138724","DOI":"10.1109\/CVPR42600.2020.00874"},{"key":"412_CR15","doi-asserted-by":"crossref","unstructured":"Liu Y, Zhang W, Wang J (2021) Zero-shot adversarial quantization. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 1512\u20131521","DOI":"10.1109\/CVPR46437.2021.00156"},{"key":"412_CR16","doi-asserted-by":"crossref","unstructured":"Bai J, Yang Y, Chu H, Wang H, Liu Z, Chen R, He X, Mu L, Cai C, Hu H (2024) Robustness-guided image synthesis for data-free quantization. Proceedings of the AAAI Conference on Artificial Intelligence, vol 38. pp 10971\u201310979","DOI":"10.1609\/aaai.v38i10.28972"},{"key":"412_CR17","doi-asserted-by":"crossref","unstructured":"Nagel M, Baalen MV, Blankevoort T, Welling M (2019) Data-free quantization through weight equalization and bias correction. Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp 1325\u20131334","DOI":"10.1109\/ICCV.2019.00141"},{"key":"412_CR18","unstructured":"Guo C, Qiu Y, Leng J, Gao X, Zhang C, Liu Y, Yang F, Zhu Y, Guo M (2022) Squant: On-the-fly data-free quantization via diagonal hessian approximation. arXiv preprint arXiv:2202.07471"},{"key":"412_CR19","doi-asserted-by":"crossref","unstructured":"Bai S, Chen J, Shen X, Qian Y, Liu Y (2023) Unified data-free compression: Pruning and quantization without fine-tuning. Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp 5876\u20135885","DOI":"10.1109\/ICCV51070.2023.00540"},{"key":"412_CR20","doi-asserted-by":"crossref","unstructured":"Xu S, Li H, Zhuang B, Liu J, Cao J, Liang C, Tan M (2020) Generative low-bitwidth data free quantization. In: European Conference on Computer Vision, pp. 1\u201317 . Springer","DOI":"10.1007\/978-3-030-58610-2_1"},{"key":"412_CR21","first-page":"14835","volume":"34","author":"K Choi","year":"2021","unstructured":"Choi K, Hong D, Park N, Kim Y, Lee J (2021) Qimera: Data-free quantization with synthetic boundary supporting samples. Adv Neural Inf Process Syst 34:14835\u201314847","journal-title":"Adv Neural Inf Process Syst"},{"key":"412_CR22","doi-asserted-by":"crossref","unstructured":"Qian B, Wang Y, Hong R, Wang M (2023) Adaptive data-free quantization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7960\u20137968","DOI":"10.1109\/CVPR52729.2023.00769"},{"key":"412_CR23","doi-asserted-by":"crossref","unstructured":"Li Y, Kim Y, Lee D, Kundu S, Panda P (2024) Genq: Quantization in low data regimes with generative synthetic data. European Conference on Computer Vision. Springer, pp 216\u2013235","DOI":"10.1007\/978-3-031-72624-8_13"},{"key":"412_CR24","doi-asserted-by":"crossref","unstructured":"Cai Y, Yao Z, Dong Z, Gholami A, Mahoney MW, Keutzer K (2020) Zeroq: A novel zero shot quantization framework. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 13169\u201313178","DOI":"10.1109\/CVPR42600.2020.01318"},{"key":"412_CR25","doi-asserted-by":"crossref","unstructured":"Zhong Y, Lin M, Nan G, Liu J, Zhang B, Tian Y, Ji R (2022) Intraq: Learning synthetic images with intra-class heterogeneity for zero-shot network quantization. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 12339\u201312348","DOI":"10.1109\/CVPR52688.2022.01202"},{"key":"412_CR26","doi-asserted-by":"crossref","unstructured":"Li H, Wu X, Lv F, Liao D, Li TH, Zhang Y, Han B, Tan M (2023) Hard sample matters a lot in zero-shot quantization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 24417\u201324426","DOI":"10.1109\/CVPR52729.2023.02339"},{"key":"412_CR27","doi-asserted-by":"publisher","first-page":"274","DOI":"10.52202\/075280-0014","volume":"36","author":"X Chen","year":"2023","unstructured":"Chen X, Wang Y, Yan R, Liu Y, Guan T, He Y (2023) Texq: Zero-shot network quantization with texture feature distribution calibration. Adv Neural Inf Process Syst 36:274\u2013287","journal-title":"Adv Neural Inf Process Syst"},{"key":"412_CR28","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Doll\u00e1r P, Girshick R, He K, Hariharan B, Belongie S (2017) Feature pyramid networks for object detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp 2117\u20132125","DOI":"10.1109\/CVPR.2017.106"},{"key":"412_CR29","unstructured":"Bochkovskiy A, Wang C-Y, Liao H-YM (2020) Yolov4: Optimal speed and accuracy of object detection.arXiv:2004.10934 arXiv preprint"},{"key":"412_CR30","unstructured":"Tian Y, Ye Q, Doermann D (2025) Yolov12: Attention-centric real-time object detectors.arXiv:2502.12524 arXiv preprint"},{"key":"412_CR31","unstructured":"Lei M, Li S, Wu Y, Hu H, Zhou Y, Zheng X, Ding G, Du S, Wu Z, Gao Y (2025) Yolov13: Real-time object detection with hypergraph-enhanced adaptive visual perception. arXiv preprint arXiv:2506.17733"},{"key":"412_CR32","doi-asserted-by":"crossref","unstructured":"Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg AC (2016) Ssd: Single shot multibox detector. European Conference on Computer Vision. Springer, pp 21\u201337","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"412_CR33","unstructured":"Fu C-Y, Liu W, Ranga A, Tyagi A, Berg AC (2017) Dssd: Deconvolutional single shot detector.arXiv:1701.06659 arXiv preprint"},{"key":"412_CR34","unstructured":"Nagel M, Amjad RA, Van Baalen M, Louizos C, Blankevoort T (2020) Up or down? adaptive rounding for post-training quantization. International Conference on Machine Learning. pp 7197\u20137206 (PMLR)"},{"key":"412_CR35","unstructured":"Li Y, Gong R, Tan X, Yang Y, Hu P, Zhang Q, Yu F, Wang W, Gu S (2021) Brecq: Pushing the limit of post-training quantization by block reconstruction.arXiv:2102.05426 arXiv preprint"},{"key":"412_CR36","unstructured":"Wei X, Gong R, Li Y, Liu X, Yu F (2022) Qdrop: Randomly dropping quantization for extremely low-bit post-training quantization. arXiv preprint arXiv:2203.05740"},{"key":"412_CR37","doi-asserted-by":"crossref","unstructured":"Fan C, Wang Z, Guo D, Wang M (2024) Data-free quantization via pseudo-label filtering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5589\u20135598","DOI":"10.1109\/CVPR52733.2024.00534"},{"key":"412_CR38","unstructured":"Kim M, Kim J, Kang U (2025) Synq: Accurate zero-shot quantization by synthesis-aware fine-tuning. In: The Thirteenth International Conference on Learning Representations"},{"key":"412_CR39","doi-asserted-by":"crossref","unstructured":"Ramachandran A, Kundu S, Krishna T (2024) Clamp-vit: Contrastive data-free learning for adaptive post-training quantization of vits. European Conference on Computer Vision. Springer, pp 307\u2013325","DOI":"10.1007\/978-3-031-72855-6_18"},{"key":"412_CR40","doi-asserted-by":"crossref","unstructured":"Choi K, Lee H, Kwon D, Park S, Kim K, Park N, Choi J, Lee J (2025) Mimiq: Low-bit data-free quantization of vision transformers with encouraging inter-head attention similarity. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, pp. 16037\u201316045","DOI":"10.1609\/aaai.v39i15.33761"},{"key":"412_CR41","doi-asserted-by":"crossref","unstructured":"Li C, Chen X, Wang J, Zhao K, Chen J (2025) Task-specific zero-shot quantization-aware training for object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 22868\u201322878","DOI":"10.1109\/ICCV51701.2025.02123"},{"key":"412_CR42","doi-asserted-by":"publisher","first-page":"17373","DOI":"10.52202\/079017-0552","volume":"37","author":"J Leng","year":"2024","unstructured":"Leng J, Wu Z, Tan M, Liu Y, Gan J, Chen H, Gao X (2024) Beyond euclidean: Dual-space representation learning for weakly supervised video violence detection. Adv Neural Inf Process Syst 37:17373\u201317397","journal-title":"Adv Neural Inf Process Syst"},{"key":"412_CR43","doi-asserted-by":"crossref","unstructured":"Leng J, Wu Z, Tan M, Mo M, Zheng J, Li Q, Gan J, Gao X (2025) Piercingeye: Dual-space video violence detection with hyperbolic vision-language guidance. IEEE Trans Pattern Anal Mach Intell","DOI":"10.1109\/TPAMI.2025.3617460"},{"key":"412_CR44","unstructured":"Mo M, Tong X, Tan M, Leng J, Zheng J, Liu Y, Chen H, Gan J, Li W, Gao X (2025) A2seek: Towards reasoning-centric benchmark for aerial anomaly understanding.arXiv:2505.21962 arXiv preprint"},{"issue":"3","key":"412_CR45","doi-asserted-by":"publisher","first-page":"1320","DOI":"10.1109\/TCSVT.2022.3210207","volume":"33","author":"J Leng","year":"2022","unstructured":"Leng J, Mo M, Zhou Y, Gao C, Li W, Gao X (2022) Pareto refocusing for drone-view object detection. IEEE Trans Circuits Syst Video Technol 33(3):1320\u20131334","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"412_CR46","doi-asserted-by":"crossref","unstructured":"Leng J, Zhang Y, Tan M, Kuang C, Wu Z, Gan J, Gao X (2025) Dual-space normalizing flow for unsupervised video anomaly detection. IEEE Trans Image Process","DOI":"10.1109\/TIP.2025.3614006"},{"key":"412_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111217","volume":"161","author":"Z Ran","year":"2025","unstructured":"Ran Z, Lu X, Wei X, Liu W (2025) Camera-aware graph multi-domain adaptive learning for unsupervised person re-identification. Pattern Recogn 161:111217","journal-title":"Pattern Recogn"},{"issue":"9","key":"412_CR48","doi-asserted-by":"publisher","first-page":"8536","DOI":"10.1109\/TCSVT.2024.3385362","volume":"34","author":"Z Ran","year":"2024","unstructured":"Ran Z, Wei X, Liu W, Lu X (2024) Multiscale aligned spatial-temporal interaction for video-based person re-identification. IEEE Trans Circuits Syst Video Technol 34(9):8536\u20138546","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"412_CR49","doi-asserted-by":"crossref","unstructured":"Ran Z, Xiao Z, Lu X, Wei X, Liu W (2025) Context-aided semantic-aware self-alignment for video-based person re-identification. IEEE Transactions on Circuits and Systems for Video Technology","DOI":"10.1109\/TCSVT.2025.3531883"},{"key":"412_CR50","doi-asserted-by":"crossref","unstructured":"Li Z, Ma L, Chen M, Xiao J, Gu Q (2022) Patch similarity aware data-free quantization for vision transformers. European Conference on Computer Vision. Springer, pp 154\u2013170","DOI":"10.1007\/978-3-031-20083-0_10"},{"key":"412_CR51","doi-asserted-by":"crossref","unstructured":"Li Z, Chen M, Xiao J, Gu Q (2023) Psaq-vit v2: Toward accurate and general data-free quantization for vision transformers. IEEE Transactions on Neural Networks and Learning Systems","DOI":"10.1109\/TNNLS.2023.3301007"},{"key":"412_CR52","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: Common objects in context. European Conference on Computer Vision. Springer, pp 740\u2013755","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"412_CR53","doi-asserted-by":"crossref","unstructured":"Jeon Y, Lee C, Kim H-Y (2023) Genie: show me the data for quantization. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp 12064\u201312073","DOI":"10.1109\/CVPR52729.2023.01161"}],"container-title":["International Journal of Multimedia Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-026-00412-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13735-026-00412-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-026-00412-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T15:45:23Z","timestamp":1782747923000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13735-026-00412-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"references-count":53,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["412"],"URL":"https:\/\/doi.org\/10.1007\/s13735-026-00412-z","relation":{},"ISSN":["2192-6611","2192-662X"],"issn-type":[{"value":"2192-6611","type":"print"},{"value":"2192-662X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]},"assertion":[{"value":"11 February 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 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 known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"23"}}