{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:35Z","timestamp":1740100175004,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T00:00:00Z","timestamp":1626307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T00:00:00Z","timestamp":1626307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806212,U1734208,61703417"],"award-info":[{"award-number":["61806212,U1734208,61703417"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province, China","doi-asserted-by":"publisher","award":["2019JJ50724"],"award-info":[{"award-number":["2019JJ50724"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,15]]},"DOI":"10.1109\/rcar52367.2021.9517519","type":"proceedings-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T20:32:50Z","timestamp":1630441970000},"page":"527-532","source":"Crossref","is-referenced-by-count":0,"title":["Deep Convolutional Neural Network Transfer Learning Optimization Based on Visual Interpretation"],"prefix":"10.1109","author":[{"given":"Yibo","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiongming","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengtao","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ce","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huimin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Smoothgrad: removing noise by adding noise","author":"smilkov","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref11","article-title":"Learning how to explain neural networks: Patternnet and patternattribution","author":"kindermans","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref13","first-page":"1677","article-title":"Automatic recognition for terrorism related image based on transfer learning","volume":"46","author":"chen","year":"2020","journal-title":"Journal of Beijing University of Aeronautics and Astronautics"},{"key":"ref14","first-page":"1457","article-title":"Cotton recognition based on transfer learning","volume":"32","author":"wang","year":"2020","journal-title":"Acta Agriculturae Zhejiangensis"},{"key":"ref15","first-page":"1701","article-title":"Detection of tomato pests and diseases based on transfer learning","volume":"40","author":"chai","year":"2019","journal-title":"Computer Engineering and Design"},{"key":"ref16","first-page":"215","article-title":"Transfer learning based recognition for forestry business images","volume":"44","author":"lin","year":"2020","journal-title":"Journal of Nanjing Forestry University(Natural Sciences Edition)"},{"key":"ref17","first-page":"324","article-title":"Ship recognition based on transfer learning","author":"dan","year":"2020","journal-title":"Application Research of Computers"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09885-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref8","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref7","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","first-page":"1803","article-title":"How to explain individual classification decisions","volume":"11","author":"baehrens","year":"2010","journal-title":"The Journal of Machine Learning Research"}],"event":{"name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","start":{"date-parts":[[2021,7,15]]},"location":"Xining, China","end":{"date-parts":[[2021,7,19]]}},"container-title":["2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9517075\/9517076\/09517519.pdf?arnumber=9517519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:45:25Z","timestamp":1659483925000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9517519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,15]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/rcar52367.2021.9517519","relation":{},"subject":[],"published":{"date-parts":[[2021,7,15]]}}}