{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T08:09:39Z","timestamp":1783930179624,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819235032","type":"print"},{"value":"9789819235049","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"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":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3504-9_40","type":"book-chapter","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T07:36:47Z","timestamp":1783928207000},"page":"488-499","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Skeet-SAM: A Cascade-Based Small Object Detection Architecture for Skeet Shooting"],"prefix":"10.1007","author":[{"given":"Liyuan","family":"Dong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoran","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongwei","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijun","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,14]]},"reference":[{"key":"40_CR1","unstructured":"Carion, N., et al.: Sam 3: Segment anything with concepts. arXiv preprint https:\/\/arxiv.org\/abs\/2511.16719 (2025)."},{"issue":"6","key":"40_CR2","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., Ross, G., 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":"40_CR3","first-page":"2961","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"K He","year":"2017","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)"},{"issue":"5","key":"40_CR4","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1109\/TPAMI.2019.2956516","volume":"43","author":"Z Cai","year":"2019","unstructured":"Cai, Z., Vasconcelos, N.: Cascade r-cnn: high quality object detection and instance segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(5), 1483\u20131498 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"40_CR5","doi-asserted-by":"publisher","first-page":"1680","DOI":"10.3390\/make5040083","volume":"5","author":"J Terven","year":"2023","unstructured":"Terven, J., C\u00f3rdova-Esparza, D.-M., Romero-Gonz\u00e1lez, J.-A.: A comprehensive review of yolo architectures in computer vision: from yolov1 to yolov8 and yolo-nas. Mach. Learn. Knowl. Extract. 5(4), 1680\u20131716 (2023)","journal-title":"Mach. Learn. Knowl. Extract."},{"issue":"10","key":"40_CR6","first-page":"167","volume":"83","author":"S Parupalli","year":"2024","unstructured":"Parupalli, S., Akhsitha, S., Naval, D., Kasam, P., Yavagiri, S.: Performance evaluation of yolov2 and modified yolov2 using face mask detection. Multimed. Tools Appl. 83(10), 167\u2013180 (2024)","journal-title":"Multimed. Tools Appl."},{"key":"40_CR7","first-page":"13029","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C-Y Wang","year":"2021","unstructured":"Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: Scaled-yolov4: scaling cross stage partial network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13029\u201313038 (2021)"},{"key":"40_CR8","unstructured":"Ge, Z.: Yolox: Exceeding yolo series in 2021, arXiv preprint https:\/\/arxiv.org\/abs\/2107.08430 (2021)."},{"issue":"16","key":"40_CR9","doi-asserted-by":"publisher","DOI":"10.3390\/s23167190","volume":"23","author":"G Wang","year":"2023","unstructured":"Wang, G., Chen, Y., An, P., Hong, H., Hu, J., Huang, T.: 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":"40_CR10","doi-asserted-by":"crossref","unstructured":"Wang, A., et al.: Yolov10: Real-time end-to-end object detection, arXiv preprint https:\/\/arxiv.org\/abs\/2405.14458 (2024).","DOI":"10.52202\/079017-3429"},{"key":"40_CR11","unstructured":"Khanam, R., Hussain, M.: Yolov11: An overview of the key architectural enhancements, arXiv preprint https:\/\/arxiv.org\/abs\/2410.17725 (2024)."},{"key":"40_CR12","unstructured":"Sapkota, R., et al.: YOLO26: key architectural enhancements and performance benchmarking for real-time object detection. arXiv preprint https:\/\/arxiv.org\/abs\/2509.25164 (2025)."},{"key":"40_CR13","volume-title":"European Conference on Computer Vision","author":"N Carion","year":"2020","unstructured":"Carion, N., et al.: End-to-end object detection with transformers. In: European Conference on Computer Vision (2020)"},{"key":"40_CR14","unstructured":"Zhang, H., et al.: Dino: Detr with improved denoising anchor boxes for end-to-end object detection, arxiv:2203.03605 (2022)"},{"key":"40_CR15","unstructured":"Zhu, X., et al.: Deformable detr: Deformable transformers for end-to-end object detection, arxiv:2010.04159 (2020)"},{"key":"40_CR16","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C Yang","year":"2022","unstructured":"Yang, C., Huang, Z., Wang, N.: QueryDet: cascaded sparse query for accelerating high-resolution small object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2022)"},{"key":"40_CR17","volume-title":"2022 IEEE International Conference on Image Processing (ICIP)","author":"FC Akyon","year":"2022","unstructured":"Akyon, F.C., Altinuc, S.O., Temizel, A.: Slicing aided hyper inference and fine-tuning for small object detection. In: 2022 IEEE International Conference on Image Processing (ICIP). IEEE (2022)"},{"key":"40_CR18","volume-title":"2021 IEEE International Conference on Image Processing (ICIP)","author":"J Chen","year":"2021","unstructured":"Chen, J., et al.: Effective feature fusion network in BIFPN for small object detection. In: 2021 IEEE International Conference on Image Processing (ICIP). IEEE (2021)"},{"key":"40_CR19","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"C Guo","year":"2020","unstructured":"Guo, C., et al.: Augfpn: improving multi-scale feature learning for object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2020)"},{"key":"40_CR20","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"K Wang","year":"2019","unstructured":"Wang, K., et al.: Panet: few-shot image semantic segmentation with prototype alignment. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (2019)"},{"key":"40_CR21","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV)","author":"S Woo","year":"2018","unstructured":"Woo, S., et al.: Cbam: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3504-9_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T07:36:49Z","timestamp":1783928209000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3504-9_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,14]]},"ISBN":["9789819235032","9789819235049"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3504-9_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,14]]},"assertion":[{"value":"14 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}