{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T06:15:10Z","timestamp":1783318510802,"version":"3.54.6"},"reference-count":35,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T00:00:00Z","timestamp":1783296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurorobot."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>RGB-T salient object detection remains challenging because visible and thermal features often show structural shifts, weak thermal boundaries, and background interference.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study proposes PSRNet, a phase-guided frequency-domain structure reconstruction network. RGB and thermal features are decomposed into amplitude and latent-phase components in the Fourier domain. Reliable cross-modal structural cues are aligned through amplitude-weighted phase consistency, and boundary-related high-frequency responses are reconstructed with a bounded Gaussian high-pass gate before adaptive phase-modulated fusion and multi-scale supervision.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>On VT1000, PSRNet achieved an S-measure of 0.903, an MAE of 0.028, and an F-measure of 0.794 at threshold 0.80, with a boundary IoU of 0.862.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>The results indicate improved structural preservation and boundary recovery under challenging RGB-T conditions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnbot.2026.1863193","type":"journal-article","created":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T05:37:00Z","timestamp":1783316220000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["PSRNet: a phase-guided frequency-domain structure reconstruction network for RGB-T salient object detection"],"prefix":"10.3389","volume":"20","author":[{"given":"Feng","family":"Xie","sequence":"first","affiliation":[{"name":"School of Mathematics and Artificial Intelligence, Chongqing University of Arts and Sciences","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhong","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Mathematics and Artificial Intelligence, Chongqing University of Arts and Sciences","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Artificial Intelligence, Chongqing University of Arts and Sciences","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinqiang","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Mathematics and Artificial Intelligence, Chongqing University of Arts and Sciences","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunyu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Foreign Languages, Jilin Agricultural Science and Technology University","place":["Jilin, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,7,6]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"11882","DOI":"10.3390\/app152211882","article-title":"Advancements in small-object detection (2023-2025): approaches, datasets, benchmarks, applications, and practical guidance","volume":"15","author":"Aldubaikhi","year":"2025","journal-title":"Appl. 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