{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T21:14:24Z","timestamp":1725657264204},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"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":[[2020,12]]},"DOI":"10.1109\/icarm49381.2020.9195281","type":"proceedings-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T21:41:00Z","timestamp":1600119660000},"page":"454-459","source":"Crossref","is-referenced-by-count":1,"title":["Real-time Colonoscopy Image Segmentation Based on Ensemble Knowledge Distillation"],"prefix":"10.1109","author":[{"given":"Zhichao","family":"Huang","sequence":"first","affiliation":[]},{"given":"Zhaoxia","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zhongsheng","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Jianqiang","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Improving multi-task deep neural networks via knowledge distillation for natural language understanding","year":"2019","author":"liu","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref11","article-title":"Y-net: A deep convolutional neural network for polyp detection","author":"mohammed","year":"0","journal-title":"British Machine Vision Conference"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/1756284820910659"},{"key":"ref13","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"0","journal-title":"Proceedings of the European Conference on Computer Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2856402"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2018.06.037"},{"key":"ref16","article-title":"Pruning filters for efficient convnets","author":"li","year":"0","journal-title":"Proceedings of the International Conference on Learning Representations"},{"journal-title":"An entropy-based pruning method for cnn compression","year":"2017","author":"luo","key":"ref17"},{"key":"ref18","article-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1","author":"courbariaux","year":"0","journal-title":"Proceedings of the Advances in Neural Information Processing Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref28","article-title":"Fitnets: Hints for thin deep nets","author":"romero","year":"0","journal-title":"Proceedings of the International Conference on Learning Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMRB.2019.2949865"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6584725"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.athoracsur.2004.02.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2018.2875052"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00271"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2872595"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1108\/01439910410566362"},{"key":"ref9","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMp1006602"},{"key":"ref20","article-title":"Mobilenetv2: Inverted residuals and linear bottlenecks","author":"howard","year":"0","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"journal-title":"A survey of model compression and acceleration for deep neural networks","year":"2017","author":"cheng","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00110"},{"journal-title":"Distilling the knowledge in a neural network","year":"2015","author":"hinton","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0214133"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2017-314547"}],"event":{"name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","start":{"date-parts":[[2020,12,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2020,12,21]]}},"container-title":["2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9180365\/9195268\/09195281.pdf?arnumber=9195281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:07:32Z","timestamp":1656374852000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9195281\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icarm49381.2020.9195281","relation":{},"subject":[],"published":{"date-parts":[[2020,12]]}}}