{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T07:04:21Z","timestamp":1784531061593,"version":"3.55.0"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62471124"],"award-info":[{"award-number":["62471124"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.imavis.2026.106090","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T15:51:18Z","timestamp":1782143478000},"page":"106090","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["PMENet: Pre-assessment Modality Enhancement Network for RGB-T salient object detection"],"prefix":"10.1016","volume":"173","author":[{"given":"Hongbo","family":"Bi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingjie","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunfeng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yina","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8952-0429","authenticated-orcid":false,"given":"Cong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.imavis.2026.106090_b1","article-title":"Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection","volume":"146","author":"Zhou","year":"2024","journal-title":"Pattern Recognit. Vol."},{"issue":"9","key":"10.1016\/j.imavis.2026.106090_b2","doi-asserted-by":"crossref","first-page":"6308","DOI":"10.1109\/TCSVT.2022.3166914","article-title":"CGMDRNet: Cross-guided modality difference reduction network for RGB-t salient object detection","volume":"32","author":"Chen","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"11","key":"10.1016\/j.imavis.2026.106090_b3","doi-asserted-by":"crossref","first-page":"7646","DOI":"10.1109\/TCSVT.2022.3184840","article-title":"Cross-collaborative fusion-encoder network for robust RGB-thermal salient object detection","volume":"32","author":"Liao","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.106090_b4","doi-asserted-by":"crossref","first-page":"6971","DOI":"10.1109\/TMM.2022.3216476","article-title":"Does thermal really always matter for RGB-T salient object detection?","volume":"25","author":"Cong","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2026.106090_b5","unstructured":"X. Zhang, B.A. Wandell, A spatial extension of CIELAB for digital color image reproduction, in: SID International Symposium Digest of Technical Papers, 1996, pp. 731\u2013734."},{"key":"10.1016\/j.imavis.2026.106090_b6","doi-asserted-by":"crossref","unstructured":"C. Zhu, X. Cai, K. Huang, T.H. Li, G. Li, PDNet: Prior-model guided depth-enhanced network for salient object detection, in: IEEE International conference on multimedia and expo (ICME), 2019, pp. 199\u2013204.","DOI":"10.1109\/ICME.2019.00042"},{"issue":"9","key":"10.1016\/j.imavis.2026.106090_b7","doi-asserted-by":"crossref","first-page":"5541","DOI":"10.1109\/TPAMI.2021.3073689","article-title":"Siamese network for RGB-D salient object detection and beyond","volume":"44","author":"Fu","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"21","key":"10.1016\/j.imavis.2026.106090_b8","doi-asserted-by":"crossref","first-page":"25543","DOI":"10.1007\/s10489-023-04784-1","article-title":"RGB-T salient object detection via excavating and enhancing CNN features","volume":"53","author":"Bi","year":"2023","journal-title":"Appl. Intell."},{"issue":"2","key":"10.1016\/j.imavis.2026.106090_b9","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1109\/TCSVT.2022.3202563","article-title":"HrTransNet: HRFormer-driven two-modality salient object detection","volume":"33","author":"Tang","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.106090_b10","doi-asserted-by":"crossref","first-page":"2148","DOI":"10.1109\/TIP.2022.3151999","article-title":"Weakly supervised RGB-d salient object detection with prediction consistency training and active scribble boosting","volume":"31","author":"Xu","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2026.106090_b11","doi-asserted-by":"crossref","unstructured":"K. Li, Z. Yang, L. Chen, et al., Catr: Combinatorial-dependence audio-queried transformer for audio-visual video segmentation, in: Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 1485\u20131494.","DOI":"10.1145\/3581783.3611724"},{"issue":"9","key":"10.1016\/j.imavis.2026.106090_b12","doi-asserted-by":"crossref","first-page":"6247","DOI":"10.1109\/TPAMI.2024.3383592","article-title":"Scalable video object segmentation with identification mechanism","volume":"46","author":"Yang","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.imavis.2026.106090_b13","first-page":"270","article-title":"A shadow detection and removal from a single image using LAB color space","volume":"10","author":"Suny","year":"2013","journal-title":"Int. J. Comput. Sci. Issues"},{"issue":"3","key":"10.1016\/j.imavis.2026.106090_b14","first-page":"1501","article-title":"Automatic gray images colorization based on lab color space","volume":"18","author":"Abbadi","year":"2020","journal-title":"Indones. J. Electr. Eng. Comput. Sci."},{"issue":"1","key":"10.1016\/j.imavis.2026.106090_b15","first-page":"1","article-title":"Color measurement of segmented printed fabric patterns in lab color space from RGB digital images","author":"Kumah","year":"2019","journal-title":"J. Text. Sci. Technol. Volume=5"},{"key":"10.1016\/j.imavis.2026.106090_b16","doi-asserted-by":"crossref","DOI":"10.1016\/j.optlaseng.2020.106328","article-title":"Illumination variation-resistant video-based heart rate monitoring using LAB color space","volume":"136","author":"Zhang","year":"2021","journal-title":"Opt. Lasers Eng."},{"issue":"3","key":"10.1016\/j.imavis.2026.106090_b17","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1002\/col.5080150308","article-title":"Historical development of CIE recommended color difference equations","volume":"15","author":"Robertson","year":"1990","journal-title":"Color. Res. Appl."},{"issue":"5","key":"10.1016\/j.imavis.2026.106090_b18","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1002\/col.1049","article-title":"The development of the CIE 2000 colour-difference formula: CIEDE2000","volume":"26","author":"Luo","year":"2001","journal-title":"Color. Res. Appl."},{"issue":"4","key":"10.1016\/j.imavis.2026.106090_b19","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1111\/j.1478-4408.1984.tb00969.x","article-title":"Modification to the JPC79 colour-difference formula","volume":"100","author":"Clarke","year":"1984","journal-title":"J. Soc. Dye. Colour."},{"key":"10.1016\/j.imavis.2026.106090_b20","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1111\/j.1478-4408.1987.tb01099.x","article-title":"Colour difference formula BFD part 1-development of the formula","volume":"103","author":"Luo","year":"1987","journal-title":"J. Soc. Dye. Col Vol."},{"issue":"1","key":"10.1016\/j.imavis.2026.106090_b21","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1002\/(SICI)1520-6378(200002)25:1<49::AID-COL7>3.0.CO;2-4","article-title":"Testing CIELAB-based color-difference formulas","volume":"25","author":"Melgosa","year":"2000","journal-title":"Color. Res. Appl."},{"issue":"12","key":"10.1016\/j.imavis.2026.106090_b22","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1111\/j.1478-4408.1995.tb01688.x","article-title":"CIE94-a new colour-difference formula","volume":"111","author":"McDonald","year":"1995","journal-title":"J. Soc. Dye. Colour."},{"issue":"6","key":"10.1016\/j.imavis.2026.106090_b23","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1002\/col.5080200609","article-title":"CIE guidelines for coordinated future work on industrial colour-difference evaluation","volume":"20","author":"Witt","year":"1995","journal-title":"Color. Res. Appl."},{"issue":"1","key":"10.1016\/j.imavis.2026.106090_b24","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1002\/col.20070","article-title":"The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations","volume":"30","author":"Sharma","year":"2005","journal-title":"Color. Res. Appl."},{"key":"10.1016\/j.imavis.2026.106090_b25","first-page":"731","article-title":"A spatial extension of CIELAB for digital color image reproduction: SID international symposium digest of technical papers","volume":"27","author":"X","year":"1996","journal-title":"Soc. Inf. Disp."},{"issue":"1","key":"10.1016\/j.imavis.2026.106090_b26","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/TMM.2019.2924578","article-title":"RGB-T image saliency detection via collaborative graph learning","volume":"22","author":"Tu","year":"2019","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2026.106090_b27","doi-asserted-by":"crossref","unstructured":"N. Liu, N. Zhang, J. Han, Learning selective self-mutual attention for RGB-D saliency detection, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 13756\u201313765.","DOI":"10.1109\/CVPR42600.2020.01377"},{"issue":"4","key":"10.1016\/j.imavis.2026.106090_b28","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1109\/TETCI.2021.3118043","article-title":"Apnet: Adversarial learning assistance and perceived importance fusion network for all-day RGB-t salient object detection","volume":"6","author":"Zhou","year":"2021","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.imavis.2026.106090_b29","doi-asserted-by":"crossref","first-page":"5678","DOI":"10.1109\/TIP.2021.3087412","article-title":"Multi-interactive dual-decoder for RGB-thermal salient object detection","volume":"30","author":"Tu","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2026.106090_b30","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/LSP.2021.3102524","article-title":"TSFNet: Two-stage fusion network for RGB-T salient object detection","volume":"28","author":"Guo","year":"2021","journal-title":"IEEE Signal Process. Lett."},{"issue":"5","key":"10.1016\/j.imavis.2026.106090_b31","doi-asserted-by":"crossref","first-page":"3111","DOI":"10.1109\/TCSVT.2021.3102268","article-title":"Efficient context-guided stacked refinement network for RGB-T salient object detection","volume":"32","author":"Huo","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.106090_b32","doi-asserted-by":"crossref","first-page":"4163","DOI":"10.1109\/TMM.2022.3171688","article-title":"RGBT salient object detection: A large-scale dataset and benchmark","volume":"25","author":"Tu","year":"2022","journal-title":"IEEE Trans. Multimed."},{"issue":"4","key":"10.1016\/j.imavis.2026.106090_b33","doi-asserted-by":"crossref","first-page":"2091","DOI":"10.1109\/TCSVT.2021.3082939","article-title":"Unified information fusion network for multi-modal RGB-d and RGB-t salient object detection","volume":"32","author":"Gao","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.106090_b34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2022.3185323","article-title":"Real-time one-stream semantic-guided refinement network for RGB-thermal salient object detection","volume":"71","author":"Huo","year":"2022","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"20","key":"10.1016\/j.imavis.2026.106090_b35","doi-asserted-by":"crossref","first-page":"59169","DOI":"10.1007\/s11042-023-17747-y","article-title":"Adaptive interactive network for RGB-T salient object detection with double mapping transformer","volume":"83","author":"Dong","year":"2024","journal-title":"Multimed. Tools Appl."},{"issue":"4","key":"10.1016\/j.imavis.2026.106090_b36","doi-asserted-by":"crossref","first-page":"953","DOI":"10.3390\/electronics12040953","article-title":"CAE-Net: cross-modal attention enhancement network for rgb-t salient object detection","volume":"12","author":"Lv","year":"2023","journal-title":"Electronics"},{"issue":"8","key":"10.1016\/j.imavis.2026.106090_b37","doi-asserted-by":"crossref","first-page":"9038","DOI":"10.1007\/s10489-022-03950-1","article-title":"Modal complementary fusion network for RGB-T salient object detection","volume":"53","author":"Ma","year":"2022","journal-title":"Appl. Intell."},{"key":"10.1016\/j.imavis.2026.106090_b38","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1109\/TIP.2023.3242775","article-title":"LSNet: Lightweight spatial boosting network for detecting salient objects in RGB-thermal images","volume":"32","author":"Zhou","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2026.106090_b39","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1109\/TIP.2023.3234702","article-title":"CAVER: Cross-modal view-mixed transformer for bi-modal salient object detection","volume":"32","author":"Pang","year":"2023","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.imavis.2026.106090_b40","doi-asserted-by":"crossref","first-page":"130","DOI":"10.3390\/e26020130","article-title":"Lightweight cross-modal information mutual reinforcement network for RGB-T salient object detection","volume":"26","author":"Lv","year":"2024","journal-title":"Entropy"},{"issue":"6","key":"10.1016\/j.imavis.2026.106090_b41","doi-asserted-by":"crossref","DOI":"10.1117\/1.JEI.32.6.063032","article-title":"EDGE-net: an edge-guided enhanced network for RGB-T salient object detection","volume":"32","author":"Zheng","year":"2023","journal-title":"J. Electron. Imaging"},{"key":"10.1016\/j.imavis.2026.106090_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.optlaseng.2023.107842","article-title":"SIA: RGB-T salient object detection network with salient-illumination awareness","volume":"172","author":"Song","year":"2024","journal-title":"Opt. Lasers Eng."},{"key":"10.1016\/j.imavis.2026.106090_b43","article-title":"Learning adaptive fusion bank formulti-modal salient object detection","author":"Wang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.106090_b44","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.112935","article-title":"Trigonometric feature learning for RGBD and RGBT image salient object detection","volume":"310","author":"Huang","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.imavis.2026.106090_b45","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2025.105525","article-title":"I3Net: Intensive information interaction network for RGB-t salient object detection","volume":"158","author":"Hou","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.106090_b46","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110868","article-title":"Progressive expansion for semi-supervised bi-modal salient object detection","volume":"157","author":"Wang","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.imavis.2026.106090_b47","doi-asserted-by":"crossref","unstructured":"G. Wang, C. Li, Y. Ma, A. Zheng, J. Tang, B. Luo, Rgb-t saliency detection benchmark: dataset, baselines, analysis and a novel approach, in: Image and Graphics Technologies and Applications, 2018, pp. 359\u2013369.","DOI":"10.1007\/978-981-13-1702-6_36"},{"key":"10.1016\/j.imavis.2026.106090_b48","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/TMM.2019.2924578","article-title":"Rgb-t image saliency detection via collaborative graph learning","volume":"22","author":"Tu","year":"2020","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2026.106090_b49","article-title":"Rgbt salient object detection: a large-scale dataset and benchmark","author":"Tu","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2026.106090_b50","doi-asserted-by":"crossref","unstructured":"S. Liu, D. Huang, Receptive field block net for accurate and fast object detection, in: Proceedings of the European Conference on Computer Vision, ECCV, 2018, pp. 385\u2013400.","DOI":"10.1007\/978-3-030-01252-6_24"},{"key":"10.1016\/j.imavis.2026.106090_b51","doi-asserted-by":"crossref","unstructured":"H. Zhao, J. Shi, X. Qi, X. Wang, J. Jia, Pyramid scene parsing network, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 2881\u20132890.","DOI":"10.1109\/CVPR.2017.660"},{"key":"10.1016\/j.imavis.2026.106090_b52","doi-asserted-by":"crossref","unstructured":"X. Zhao, Y. Pang, L. Zhang, H. Lu, L. Zhang, Suppress and balance: A simple gated network for salient object detection, in: Computer Vision-ECCV (2020): 16th European Conference, 2020, pp. 35\u201351.","DOI":"10.1007\/978-3-030-58536-5_3"},{"issue":"12","key":"10.1016\/j.imavis.2026.106090_b53","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.1631\/FITEE.2100463","article-title":"Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies","volume":"22","author":"Yang","year":"2021","journal-title":"Front. Inf. Technol. Electron. Eng."}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885626001976?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885626001976?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T06:27:20Z","timestamp":1784528840000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885626001976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":53,"alternative-id":["S0262885626001976"],"URL":"https:\/\/doi.org\/10.1016\/j.imavis.2026.106090","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"PMENet: Pre-assessment Modality Enhancement Network for RGB-T salient object detection","name":"articletitle","label":"Article Title"},{"value":"Image and Vision Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.imavis.2026.106090","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"106090"}}