{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T10:26:04Z","timestamp":1759227964697,"version":"3.37.3"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,16]],"date-time":"2021-11-16T00:00:00Z","timestamp":1637020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,16]],"date-time":"2021-11-16T00:00:00Z","timestamp":1637020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,16]],"date-time":"2021-11-16T00:00:00Z","timestamp":1637020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100009224","name":"Advanced Research Projects Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009224","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,16]]},"DOI":"10.1109\/avss52988.2021.9663801","type":"proceedings-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T20:43:05Z","timestamp":1641415385000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Introspective Closed-Loop Perception for Energy-efficient Sensors"],"prefix":"10.1109","author":[{"given":"Kruttidipta","family":"Samal","sequence":"first","affiliation":[]},{"given":"Marilyn","family":"Wolf","sequence":"additional","affiliation":[]},{"given":"Saibal","family":"Mukhopadhyay","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310262"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3070803"},{"key":"ref12","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"in European Conference on Computer Vision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2935207"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SENSORS47125.2020.9278702"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SENSORS47125.2020.9278588"},{"key":"ref16","first-page":"0","article-title":"The power of tiling for small object detection","author":"ozge unel","year":"2019","journal-title":"In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref17","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018","journal-title":"ArXiv"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2008.928742"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639423"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2015.2457897"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/FPT.2004.1393311"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref5","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2016","journal-title":"In International Conference on Machine Learning"},{"key":"ref8","first-page":"1321","article-title":"On calibration of modern neural networks","author":"guo","year":"2017","journal-title":"In International Conference on Machine Learning"},{"journal-title":"Digging into self-supervised monocular depth prediction","year":"2019","author":"godard","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/S3S.2018.8640151"},{"key":"ref9","article-title":"Dynamic Optimization","author":"kamien","year":"2013","journal-title":"The Calculus of Variations and Optimal Control in Economics and Management Dover Books on Mathematics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2021.3087664"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00271"}],"event":{"name":"2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","start":{"date-parts":[[2021,11,16]]},"location":"Washington, DC, USA","end":{"date-parts":[[2021,11,19]]}},"container-title":["2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9663572\/9663735\/09663801.pdf?arnumber=9663801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:56:51Z","timestamp":1652201811000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9663801\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,16]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/avss52988.2021.9663801","relation":{},"subject":[],"published":{"date-parts":[[2021,11,16]]}}}