{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:30:06Z","timestamp":1775745006702,"version":"3.50.1"},"reference-count":9,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T00:00:00Z","timestamp":1650585600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T00:00:00Z","timestamp":1650585600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s11432-020-3337-9","type":"journal-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T00:02:15Z","timestamp":1651017735000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["RLLNet: a lightweight remaking learning network for saliency redetection on RGB-D images"],"prefix":"10.1007","volume":"65","author":[{"given":"Wujie","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Chang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jingsheng","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Lu","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,22]]},"reference":[{"key":"3337_CR1","doi-asserted-by":"publisher","unstructured":"Zhou W J, Guo Q L, Lei J S, et al. IRFR-Net: interactive recursive feature-reshaping network for detecting salient objects in RGB-D images. IEEE Trans Neural Netw Learn Syst, 2021. doi: https:\/\/doi.org\/10.1109\/TNNLS.2021.3105484","DOI":"10.1109\/TNNLS.2021.3105484"},{"key":"3337_CR2","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s41095-020-0199-z","volume":"7","author":"T Zhou","year":"2021","unstructured":"Zhou T, Fan D P, Cheng M M, et al. RGB-D salient object detection: a survey. Comp Visual Media, 2021, 7: 37\u201369","journal-title":"Comp Visual Media"},{"key":"3337_CR3","doi-asserted-by":"publisher","first-page":"3388","DOI":"10.1109\/TMM.2020.3025166","volume":"23","author":"W J Zhou","year":"2021","unstructured":"Zhou W J, Wu J W, Lei J S, et al. Salient object detection in stereoscopic 3D images using a deep convolutional residual autoencoder. IEEE Trans Multimedia, 2021, 23: 3388\u20133399","journal-title":"IEEE Trans Multimedia"},{"key":"3337_CR4","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.1109\/TIP.2021.3049959","volume":"30","author":"Z Zhang","year":"2021","unstructured":"Zhang Z, Lin Z, Xu J, et al. Bilateral attention network for RGB-D salient object detection. IEEE Trans Image Process, 2021, 30: 1949\u20131961","journal-title":"IEEE Trans Image Process"},{"key":"3337_CR5","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1109\/TIP.2015.2487833","volume":"24","author":"A Borji","year":"2015","unstructured":"Borji A, Cheng M M, Jiang H, et al. Salient object detection: a benchmark. IEEE Trans Image Process, 2015, 24: 5706\u20135722","journal-title":"IEEE Trans Image Process"},{"key":"3337_CR6","doi-asserted-by":"publisher","first-page":"3641","DOI":"10.1109\/TSMC.2019.2957386","volume":"51","author":"W J Zhou","year":"2021","unstructured":"Zhou W J, Lv Y, Lei J S, et al. Global and local-contrast guides content-aware fusion for RGB-D saliency prediction. IEEE Trans Syst Man Cybern Syst, 2021, 51: 3641\u20133649","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"3337_CR7","doi-asserted-by":"crossref","unstructured":"Howard A, Sandler M, Chu G, et al. Searching for MobileNetV3. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (CVPR), 2019. 1314\u20131324","DOI":"10.1109\/ICCV.2019.00140"},{"key":"3337_CR8","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1109\/TMM.2021.3058788","volume":"24","author":"Y F Zhang","year":"2022","unstructured":"Zhang Y F, Zheng J B, Jia W J, et al. Deep RGB-D saliency detection without depth. IEEE Trans Multimedia, 2022, 24: 755\u2013767","journal-title":"IEEE Trans Multimedia"},{"key":"3337_CR9","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1109\/TNNLS.2020.2996406","volume":"32","author":"D P Fan","year":"2021","unstructured":"Fan D P, Lin Z, Zhang Z, et al. Rethinking RGB-D salient object detection: models, data sets, and large-scale benchmarks. IEEE Trans Neural Netw Learn Syst, 2021, 32: 2075\u20132089","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-020-3337-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-020-3337-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-020-3337-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T21:22:48Z","timestamp":1688505768000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-020-3337-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,22]]},"references-count":9,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["3337"],"URL":"https:\/\/doi.org\/10.1007\/s11432-020-3337-9","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,22]]},"assertion":[{"value":"19 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 June 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"160107"}}