{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T22:12:56Z","timestamp":1761948776862,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671661","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T15:39:16Z","timestamp":1642088356000},"page":"4011-4020","source":"Crossref","is-referenced-by-count":4,"title":["Application of deep learning to camera trap data for ecologists in planning \/ engineering \u2013 Can captivity imagery train a model which generalises to the wild?"],"prefix":"10.1109","author":[{"given":"Ryan","family":"Curry","sequence":"first","affiliation":[]},{"given":"Cameron","family":"Trotter","sequence":"additional","affiliation":[]},{"given":"A. Stephen","family":"McGough","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"Adam: A method for stochastic optimization","year":"2017","author":"kingma","key":"ref39"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","year":"0","author":"howard","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","year":"0","author":"tan","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"0","author":"simonyan","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"year":"0","key":"ref10","article-title":"LILA BC (labeled image library of alexandria: Biology and conservation)"},{"key":"ref40","first-page":"464","volume":"12068 lncs","author":"gao","year":"0","journal-title":"CycleGAN-Based Image Translation for Near-Infrared Camera-Trap Image Recognition"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13133"},{"year":"0","key":"ref12","article-title":"Google open images dataset"},{"article-title":"Ndd20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation","year":"2020","author":"trotter","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVCNZ.2018.8634790"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/eva.12720"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_28"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2017.31"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/ece3.6692"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2015.26"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/S0030605313001154"},{"year":"0","key":"ref27","article-title":"LabelImg"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0263775815623539"},{"year":"0","key":"ref6","article-title":"Wildlife and countryside act 1981"},{"key":"ref29","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","volume":"28","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1017\/S1367943005002301"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13504"},{"article-title":"Efficient pipeline for camera trap image review","year":"0","author":"beery","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13120"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13256"},{"year":"2019","key":"ref1","article-title":"Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/ece3.7344"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1186562.1015720"},{"article-title":"The iWildCam 2021 competition dataset","year":"0","author":"beery","key":"ref21"},{"article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","year":"0","author":"gal","key":"ref42"},{"article-title":"The surprising impact of mask-head architecture on novel class segmentation","year":"0","author":"birodkar","key":"ref24"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"article-title":"Microsoft COCO: Common objects in context","year":"0","author":"lin","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671661.pdf?arnumber=9671661","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:55:36Z","timestamp":1652187336000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671661\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671661","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}