{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:51:59Z","timestamp":1767340319390},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"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":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9341574","type":"proceedings-article","created":{"date-parts":[[2021,2,13]],"date-time":"2021-02-13T02:26:48Z","timestamp":1613183208000},"source":"Crossref","is-referenced-by-count":40,"title":["Tidying Deep Saliency Prediction Architectures"],"prefix":"10.1109","author":[{"given":"Navyasri","family":"Reddy","sequence":"first","affiliation":[{"name":"International Institute of Information Technology,CVIT, KCIS,Hyderabad,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samyak","family":"Jain","sequence":"additional","affiliation":[{"name":"International Institute of Information Technology,CVIT, KCIS,Hyderabad,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pradeep","family":"Yarlagadda","sequence":"additional","affiliation":[{"name":"International Institute of Information Technology,CVIT, KCIS,Hyderabad,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vineet","family":"Gandhi","sequence":"additional","affiliation":[{"name":"International Institute of Information Technology,CVIT, KCIS,Hyderabad,India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00574"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2017.143"},{"key":"ref33","article-title":"Saliency benchmarking made easy: Separating models, maps and metrics","author":"kummerer","year":"2018","journal-title":"ECCV"},{"key":"ref32","article-title":"Where should saliency models look next?","author":"bylinskii","year":"2016","journal-title":"ECCV"},{"key":"ref31","article-title":"Deep visual attention prediction","author":"wang","year":"2017"},{"key":"ref30","article-title":"Visual saliency based on multiscale deep features","author":"li","year":"2015","journal-title":"CVPR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1049\/trit.2018.1012"},{"key":"ref36","article-title":"How is gaze influenced by image transformations? dataset and model","author":"che","year":"2019","journal-title":"IEEE TIP"},{"key":"ref35","article-title":"Contextual encoder-decoder network for visual saliency prediction","author":"kroner","year":"2019"},{"key":"ref34","article-title":"Mixture density networks","author":"bishop","year":"1994"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298710"},{"key":"ref11","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref12","article-title":"Mit saliency benchmark","author":"bylinskii","year":"2015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.26"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1167\/9.3.5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"ref16","article-title":"Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet","author":"kummerer","year":"2014"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2710620"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900174"},{"key":"ref19","article-title":"Eml-net: An expandable multi-layer network for saliency prediction","author":"jia","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.38"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2010.5649430"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.513"},{"key":"ref3","first-page":"77","article-title":"Visual attention in spoken humanrobot interaction","author":"staudte","year":"2009","journal-title":"Human-Robot Interaction (HRI) 2009 4th ACM\/IEEE International Conference on"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152298"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2628878"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5979815"},{"key":"ref8","first-page":"1","article-title":"Attention-based active visual search for mobile robots","author":"rasouli","year":"2019","journal-title":"Autonomous Robots"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/RCAR.2017.8311840"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815601"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-3833-5_5"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2851672"},{"key":"ref22","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref21","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2817047"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2020,10,24]]},"end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09341574.pdf?arnumber=9341574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:23Z","timestamp":1656453443000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9341574\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9341574","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}