{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T08:25:39Z","timestamp":1771403139716,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T00:00:00Z","timestamp":1757808000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T00:00:00Z","timestamp":1757808000000},"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":[[2025,9,14]]},"DOI":"10.1109\/icipw68931.2025.11385953","type":"proceedings-article","created":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T21:05:43Z","timestamp":1771362343000},"page":"286-291","source":"Crossref","is-referenced-by-count":0,"title":["Data-Efficient Stream-Based Active Distillation For Scalable Edge Model Deployment"],"prefix":"10.1109","author":[{"given":"Dani","family":"Manjah","sequence":"first","affiliation":[{"name":"UCLouvain 1348 Louvain-la-Neuve,ICTEAM,Belgium"}]},{"given":"Tim","family":"Bary","sequence":"additional","affiliation":[{"name":"UCLouvain 1348 Louvain-la-Neuve,ICTEAM,Belgium"}]},{"given":"Beno\u00eet","family":"G\u00e9rin","sequence":"additional","affiliation":[{"name":"UCLouvain 1348 Louvain-la-Neuve,ICTEAM,Belgium"}]},{"given":"Beno\u00eet","family":"Macq","sequence":"additional","affiliation":[{"name":"UCLouvain 1348 Louvain-la-Neuve,ICTEAM,Belgium"}]},{"given":"Christophe de","family":"Vleeschouwer","sequence":"additional","affiliation":[{"name":"UCLouvain 1348 Louvain-la-Neuve,ICTEAM,Belgium"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.2704"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.128408"},{"key":"ref3","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref4","volume-title":"Ultralytics YOLO","author":"Jocher","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00528"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00914"},{"key":"ref7","volume-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765695"},{"key":"ref9","article-title":"Semi-supervised learning for domain adaptation","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"33","author":"Saito"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2024.3453188"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449944"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00450"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02181-w"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01684"},{"key":"ref16","article-title":"Deep active learning for object detection","volume-title":"29th British Machine Vision Conference(BMVC)","author":"Roy"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00918"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/18M1209854"},{"key":"ref19","article-title":"Selection via proxy: Efficient data selection for deep learning","volume":"abs\/1906.11829","author":"Coleman","year":"2019","journal-title":"CoRR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00764"},{"key":"ref21","first-page":"17044","article-title":"Identifying mislabeled data using the area under the margin ranking","volume-title":"Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato","volume":"33","author":"Pleiss","year":"2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref23","article-title":"Moderate coreset: A universal method of data selection for real-world data-efficient deep learning","volume-title":"The Eleventh International Conference on Learning Representations","author":"Xia"},{"key":"ref24","article-title":"Training-free dataset pruning for instance segmentation","volume-title":"The Thirteenth International Conference on Learning Representations","author":"Dai"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref26","article-title":"Deep active learning over the long tail","volume":"abs\/1711.00941","author":"Geifman","year":"2017","journal-title":"CoRR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.156"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2005.1530332"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2008.29"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CISP.2011.6100346"}],"event":{"name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","location":"Anchorage, AK, USA","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["2025 IEEE International Conference on Image Processing Workshops (ICIPW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11385856\/11385840\/11385953.pdf?arnumber=11385953","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T07:36:00Z","timestamp":1771400160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11385953\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,14]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icipw68931.2025.11385953","relation":{},"subject":[],"published":{"date-parts":[[2025,9,14]]}}}