{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T19:27:26Z","timestamp":1774121246900,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"University of Trento, Italy"},{"name":"Program for Advanced Research"},{"name":"DST, New Delhi, India"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/jstars.2021.3084408","type":"journal-article","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T22:45:47Z","timestamp":1622155547000},"page":"5879-5890","source":"Crossref","is-referenced-by-count":25,"title":["CILEA-NET: Curriculum-Based Incremental Learning Framework for Remote Sensing Image Classification"],"prefix":"10.1109","volume":"14","author":[{"given":"S. Divakar","family":"Bhat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8371-8138","authenticated-orcid":false,"given":"Biplab","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Subhasis","family":"Chaudhuri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6720-6108","authenticated-orcid":false,"given":"Avik","family":"Bhattacharya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.01.004"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs12111794"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s20041226"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3019071"},{"key":"ref30","article-title":"A neural Dirichlet process mixture model for task-free continual learning","author":"lee","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2991407"},{"key":"ref36","first-page":"2535","article-title":"On the power of curriculum learning in training deep networks","author":"hacohen","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/1022003"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0277(93)90058-4"},{"key":"ref10","article-title":"Incremental classifier learning with generative adversarial networks","author":"wu","year":"2018"},{"key":"ref40","article-title":"220 band AVIRIS hyperspectral image data set: Jun. 12, 1992 Indian Pine Test Site 3","author":"baumgardner","year":"2015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1037\/h0049039"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2008.11.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71701-0_101"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(99)00091-4"},{"key":"ref16","first-page":"3140","article-title":"Mondrian forests: Efficient online random forests","author":"lakshminarayanan","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref19","article-title":"Overcoming catastrophic forgetting with hard attention to the task","author":"serra","year":"2018"},{"key":"ref28","first-page":"11 849","article-title":"Online continual learning with maximal interfered retrieval","author":"aljundi","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00504"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2018.00078"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_31"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ANNES.1993.323080"},{"key":"ref8","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume":"70","author":"zenke","year":"0","journal-title":"Mach Learn Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref2","article-title":"Incremental learning algorithms and applications","author":"gepperth","year":"0","journal-title":"Proc Eur Symp Artif Neural Netw"},{"key":"ref9","article-title":"Progressive neural networks","author":"rusu","year":"2016"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.03.009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref22","article-title":"Less-forgetful learning for domain expansion in deep neural networks","author":"jung","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545895"},{"key":"ref42","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015"},{"key":"ref24","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015"},{"key":"ref41","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"0","journal-title":"Proc 13th Int Conf Artif Intell Statist"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref44","article-title":"Online continual learning in image classification: An empirical survey","author":"mai","year":"2021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2925416"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_15"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09442875.pdf?arnumber=9442875","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:33Z","timestamp":1639770993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9442875\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3084408","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}