{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T03:49:32Z","timestamp":1771472972567,"version":"3.50.1"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1109\/icmew.2017.8026312","type":"proceedings-article","created":{"date-parts":[[2017,9,7]],"date-time":"2017-09-07T16:34:59Z","timestamp":1504802099000},"page":"549-554","source":"Crossref","is-referenced-by-count":98,"title":["Inception Single Shot MultiBox Detector for object detection"],"prefix":"10.1109","author":[{"family":"Chengcheng Ning","sequence":"first","affiliation":[]},{"family":"Huajun Zhou","sequence":"additional","affiliation":[]},{"family":"Yan Song","sequence":"additional","affiliation":[]},{"family":"Jinhui Tang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref11","first-page":"770","author":"he","year":"2016","journal-title":"Deep residual learning for image recognition"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref13","author":"szegedy","year":"2016","journal-title":"Inception-v4 inception-resnet and the impact of residual connections on learning"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref15","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2601099"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref6","author":"hyeon kim","year":"2016","journal-title":"Pvanet Deep but lightweight neural networks for real-time object detection"},{"key":"ref5","first-page":"379","author":"dai","year":"2016","journal-title":"R-FCN Object Detection via Region-based Fully Convolutional Networks[J]"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref7","first-page":"21","author":"liu","year":"2016","journal-title":"Ssd Single shot multibox detector"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref1","first-page":"580","author":"girshick","year":"2014","journal-title":"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation"},{"key":"ref9","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Computer Science"}],"event":{"name":"2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","location":"Hong Kong, Hong Kong","start":{"date-parts":[[2017,7,10]]},"end":{"date-parts":[[2017,7,14]]}},"container-title":["2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8014334\/8026209\/08026312.pdf?arnumber=8026312","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,2]],"date-time":"2017-10-02T22:33:02Z","timestamp":1506983582000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8026312\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/icmew.2017.8026312","relation":{},"subject":[],"published":{"date-parts":[[2017,7]]}}}