{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:39:04Z","timestamp":1779385144659,"version":"3.53.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"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":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,6,1]]},"DOI":"10.1109\/tpami.2019.2959322","type":"journal-article","created":{"date-parts":[[2019,12,18]],"date-time":"2019-12-18T21:13:35Z","timestamp":1576703615000},"page":"1875-1886","source":"Crossref","is-referenced-by-count":20,"title":["Anytime Recognition with Routing Convolutional Networks"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3038-5891","authenticated-orcid":false,"given":"Zequn","family":"Jie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6843-0064","authenticated-orcid":false,"given":"Jiashi","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3865-8145","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_42"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143946"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854141"},{"key":"ref31","article-title":"Feature-budgeted random forest","author":"nan","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.246"},{"key":"ref37","first-page":"581","article-title":"Supervised sequential classification under budget constraints","author":"trapeznikov","year":"2013","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref10","article-title":"Deep residual learning for image recognition","author":"he","year":"2015"},{"key":"ref40","first-page":"2152","article-title":"Efficient learning by directed acyclic graph for resource constrained prediction","author":"wang","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.pneurobio.2007.09.001"},{"key":"ref12","article-title":"Anytime neural network: A versatile trade-off between computation and accuracy","author":"hu","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.21"},{"key":"ref14","article-title":"Multi-scale dense convolutional networks for efficient prediction","author":"huang","year":"2017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.11.008"},{"key":"ref17","article-title":"Prediction-time active feature-value acquisition for cost-effective customer targeting","author":"kanani","year":"2008","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.80"},{"key":"ref19","article-title":"Learning multiple layers of features from tiny images","volume":"1","author":"krizhevsky","year":"2009"},{"key":"ref28","article-title":"Deciding how to decide: Dynamic routing in artificial neural networks","author":"mcgill","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.384"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2899570"},{"key":"ref3","article-title":"Adaptive neural networks for fast test-time prediction","author":"bolukbasi","year":"2017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref29","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013"},{"key":"ref5","first-page":"218","article-title":"Classifier cascade for minimizing feature evaluation cost","author":"chen","year":"2012","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref8","article-title":"Deep sequential neural network","author":"denoyer","year":"2014"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref2","article-title":"Conditional computation in neural networks for faster models","author":"bengio","year":"2015"},{"key":"ref9","first-page":"1062","article-title":"Active classification based on value of classifier","author":"gao","year":"2011","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref1","first-page":"747","article-title":"Fast classification using sparse decision DAGs","author":"benbouzid","year":"2012","journal-title":"Proc 29th Int Conf Mach Learn"},{"key":"ref20","first-page":"1939","article-title":"Feature-cost sensitive learning with submodular trees of classifiers","author":"kusner","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref22","first-page":"562","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Proc 18th Int Conf Artif Intell Statist"},{"key":"ref21","article-title":"FractalNet: Ultra-deep neural networks without residuals","author":"larsson","year":"2016"},{"key":"ref42","first-page":"-133i","article-title":"Cost-sensitive tree of classifiers","author":"xu","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.684"},{"key":"ref41","article-title":"SkipNet: Learning dynamic routing in convolutional networks","author":"wang","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299170"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_15"},{"key":"ref43","article-title":"A survey of recent advances in face detection","author":"zhang","year":"2010"},{"key":"ref25","article-title":"Dynamic deep neural networks: Optimizing accuracy-efficiency trade-offs by selective execution","author":"liu","year":"2017"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9427901\/08936396.pdf?arnumber=8936396","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:16Z","timestamp":1652194156000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8936396\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,1]]},"references-count":43,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2019.2959322","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,1]]}}}