{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T12:15:53Z","timestamp":1726229753740},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031441363"},{"type":"electronic","value":"9783031441370"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-44137-0_25","type":"book-chapter","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T04:02:44Z","timestamp":1695182564000},"page":"299-309","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Hardware-Aware Sampling Parameter Search for\u00a0Efficient Probabilistic Object Detection"],"prefix":"10.1007","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-4904-0495","authenticated-orcid":false,"given":"Julian","family":"Hoefer","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9748-3149","authenticated-orcid":false,"given":"Tim","family":"Hotfilter","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1700-5778","authenticated-orcid":false,"given":"Fabian","family":"Kre\u00df","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Qiu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7310-567X","authenticated-orcid":false,"given":"Tanja","family":"Harbaum","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-5082-5487","authenticated-orcid":false,"given":"Juergen","family":"Becker","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,21]]},"reference":[{"key":"25_CR1","unstructured":"Azevedo, T., de Jong, R., Maji, P.: Stochastic-YOLO: efficient probabilistic object detection under dataset shifts (2020). https:\/\/arxiv.org\/abs\/2009.02967"},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"89497","DOI":"10.1109\/ACCESS.2020.2990567","volume":"8","author":"J Blank","year":"2020","unstructured":"Blank, J., Deb, K.: Pymoo: multi-objective optimization in python. IEEE Access 8, 89497\u201389509 (2020)","journal-title":"IEEE Access"},{"key":"25_CR3","doi-asserted-by":"crossref","unstructured":"Choi, J., Chun, D., Kim, H., Lee, H.: Gaussian YOLOv3: an accurate and fast object detector using localization uncertainty for autonomous driving (2019). http:\/\/arxiv.org\/abs\/1904.04620","DOI":"10.1109\/ICCV.2019.00059"},{"key":"25_CR4","unstructured":"Deepshikha, K., Yelleni, S.H., Srijith, P.K., Mohan, C.K.: Monte Carlo dropblock for modelling uncertainty in object detection (2021). https:\/\/arxiv.org\/abs\/2108.03614"},{"issue":"2","key":"25_CR5","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. Int. J. Comput. Vision 88(2), 303\u2013338 (2010)","journal-title":"Int. J. Comput. Vision"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Fan, H., et al.: High-performance FPGA-based accelerator for Bayesian neural networks. In: 2021 58th ACM\/IEEE Design Automation Conference (DAC) (2021)","DOI":"10.1109\/DAC18074.2021.9586137"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Fasfous, N., et al.: Binary-LoRAX: low-latency runtime adaptable XNOR classifier for semi-autonomous grasping with prosthetic hands. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 13430\u201313437 (2021)","DOI":"10.1109\/ICRA48506.2021.9561045"},{"key":"25_CR8","unstructured":"Gal, Y., Ghahramani, Z.: Dropout as a Bayesian approximation: representing model uncertainty in deep learning. In: Proceedings of the 33rd International Conference on International Conference on Machine Learning, ICML 2016, vol. 48, pp. 1050\u20131059. JMLR.org (2016)"},{"key":"25_CR9","unstructured":"Ghiasi, G., Lin, T., Le, Q.V.: DropBlock: a regularization method for convolutional networks (2018). http:\/\/arxiv.org\/abs\/1810.12890"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Hall, D., et al.: Probabilistic object detection: definition and evaluation. In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (2020)","DOI":"10.1109\/WACV45572.2020.9093599"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Harakeh, A., Smart, M., Waslander, S.L.: BayesOD: a Bayesian approach for uncertainty estimation in deep object detectors (2019). http:\/\/arxiv.org\/abs\/1903.03838","DOI":"10.1109\/ICRA40945.2020.9196544"},{"key":"25_CR12","doi-asserted-by":"publisher","unstructured":"Jocher, G.: YOLOv5 by ultralytics (2020). https:\/\/doi.org\/10.5281\/zenodo.3908559,https:\/\/github.com\/ultralytics\/yolov5","DOI":"10.5281\/zenodo.3908559"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Kempf, F., et al.: The ZuSE-KI-mobil AI accelerator SOC: overview and a functional safety perspective. In: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1\u20136 (2023)","DOI":"10.23919\/DATE56975.2023.10137257"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Kraus, F., Dietmayer, K.: Uncertainty estimation in one-stage object detection. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (2019)","DOI":"10.1109\/ITSC.2019.8917494"},{"key":"25_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Miller, D., Nicholson, L., Dayoub, F., S\u00fcnderhauf, N.: Dropout sampling for robust object detection in open-set conditions. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 3243\u20133249 (2018)","DOI":"10.1109\/ICRA.2018.8460700"},{"key":"25_CR17","unstructured":"Miller, D., et al.. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2019)"},{"issue":"56","key":"25_CR18","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., et al.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(56), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."}],"container-title":["Lecture Notes in Computer Science","Computer Vision Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44137-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T06:06:13Z","timestamp":1695189973000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44137-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031441363","9783031441370"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44137-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICVS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"VIenna","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icvs2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icvs2023.conf.tuwien.ac.at\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"74","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}
