{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:30:32Z","timestamp":1778009432643,"version":"3.51.4"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093484","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"3626-3634","source":"Crossref","is-referenced-by-count":6,"title":["HistoNet: Predicting size histograms of object instances"],"prefix":"10.1109","author":[{"given":"Kishan","family":"Sharma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moritz","family":"Gold","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Zurbruegg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Leal-Taixe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan Dirk","family":"Wegner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0140-x"},{"key":"ref11","first-page":"2980","article-title":"Mask R-CNN","author":"he","year":"2017","journal-title":"IEEE International Conference on Computer Vision"},{"key":"ref12","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"CoRR abs\/1512 03385"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1967.1089532"},{"key":"ref14","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"Proceedings of the 3rd International Conference on Learning Representations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.197"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref17","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics AISTATS 2015 San Diego California USA May 9-12 2015"},{"key":"ref18","first-page":"1324","article-title":"Learning to count objects in images","author":"lempitsky","year":"2010","journal-title":"Advances in Neural Information Processing Systems 23"},{"key":"ref19","first-page":"11\/1","author":"marana","year":"1997","journal-title":"Estimation of crowd density using image processing"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_43"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.9"},{"key":"ref27","article-title":"Microscopy cell counting with fully convolutional regression networks","author":"xie","year":"2015","journal-title":"1st MICCAI Workshop on Deep Learning in Medical Image Analysis"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1109\/3477.775269","article-title":"A neural-based crowd estimation by hybrid global learning algorithm","volume":"29","author":"cho","year":"1999","journal-title":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)"},{"key":"ref6","first-page":"2685","article-title":"Learning to count with regression forest and structured labels","author":"fiaschi","year":"2012","journal-title":"Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12649-011-9079-1"},{"key":"ref8","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"Machine Learning Research"},{"key":"ref7","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"girshick","year":"2013","journal-title":"CoRR abs\/1311 2524"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.305"},{"key":"ref9","first-page":"302","article-title":"Decomposition of biowaste macronutrients, microbes, and chemicals in black soldier fly larval treatment: A review","author":"gold","year":"2018","journal-title":"Waste and Biomass Valorization"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.a.23244"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2288355"},{"key":"ref22","first-page":"351","article-title":"Counting the uncountable: deep semantic density estimation from Space","author":"rodriguez","year":"2018","journal-title":"German Conference on Pattern Recognition"},{"key":"ref21","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"CoRR abs\/1506 01497"},{"key":"ref24","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention — MICCAI Lecture Notes in Computer Science"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_19"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_1"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1117\/1.1631315","article-title":"Survey over image thresholding techniques and quantitative performance evaluation","volume":"13","author":"sezgin","year":"2004","journal-title":"Journal of Electronic Imaging"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Snowmass Village, CO, USA","start":{"date-parts":[[2020,3,1]]},"end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093484.pdf?arnumber=9093484","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:58Z","timestamp":1656602278000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093484\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093484","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}