{"id":"https://openalex.org/W4411631895","doi":"https://doi.org/10.1145/3731715.3733308","title":"Direction-aware Attention and Semantic Guidance Network for Salient Object Detection in Optical Remote Sensing Images","display_name":"Direction-aware Attention and Semantic Guidance Network for Salient Object Detection in Optical Remote Sensing Images","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411631895","doi":"https://doi.org/10.1145/3731715.3733308"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064381863","display_name":"Yifei Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Teng","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China"],"raw_orcid":"https://orcid.org/0009-0007-1272-2835","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103016201","display_name":"Zhengyi Guo","orcid":"https://orcid.org/0009-0003-6980-9385"},"institutions":[{"id":"https://openalex.org/I166427055","display_name":"Xinjiang Agricultural University","ror":"https://ror.org/04qjh2h11","country_code":"CN","type":"education","lineage":["https://openalex.org/I166427055"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoru Guo","raw_affiliation_strings":["School of Computer and Engineering, Xinjiang Agricultural University, \u00dcr\u00fcmqi, China"],"raw_orcid":"https://orcid.org/0009-0003-6980-9385","affiliations":[{"raw_affiliation_string":"School of Computer and Engineering, Xinjiang Agricultural University, \u00dcr\u00fcmqi, China","institution_ids":["https://openalex.org/I166427055"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaqian Wang","orcid":"https://orcid.org/0009-0006-6945-191X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqian Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China"],"raw_orcid":"https://orcid.org/0009-0006-6945-191X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081489939","display_name":"Liejun Wang","orcid":"https://orcid.org/0000-0003-0210-2273"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liejun Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China"],"raw_orcid":"https://orcid.org/0000-0003-0210-2273","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643514","display_name":"Panpan Zheng","orcid":"https://orcid.org/0009-0003-2934-6339"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panpan Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China"],"raw_orcid":"https://orcid.org/0009-0003-2934-6339","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xinjiang University, \u00dcr\u00fcmqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1264","last_page":"1272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7268097400665283},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6973890066146851},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6105745434761047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6008566617965698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5943447947502136},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4980032444000244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2956603169441223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268097400665283},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6973890066146851},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6105745434761047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6008566617965698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5943447947502136},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4980032444000244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2956603169441223}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733308","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2098702446","https://openalex.org/W2100470808","https://openalex.org/W2771328814","https://openalex.org/W2961348656","https://openalex.org/W2963112696","https://openalex.org/W2963299740","https://openalex.org/W2963868681","https://openalex.org/W2967085153","https://openalex.org/W2987701848","https://openalex.org/W2990201021","https://openalex.org/W2990984982","https://openalex.org/W3029368604","https://openalex.org/W3108948422","https://openalex.org/W3112885960","https://openalex.org/W3132018008","https://openalex.org/W3135874576","https://openalex.org/W3173382343","https://openalex.org/W3175515048","https://openalex.org/W3188023301","https://openalex.org/W3197617356","https://openalex.org/W4206947033","https://openalex.org/W4221138999","https://openalex.org/W4223896192","https://openalex.org/W4226537900","https://openalex.org/W4285215809","https://openalex.org/W4312373555","https://openalex.org/W4312815893","https://openalex.org/W4315631877","https://openalex.org/W4319303940","https://openalex.org/W4385444701","https://openalex.org/W4386824701","https://openalex.org/W4387046507","https://openalex.org/W4388740185","https://openalex.org/W4391305869","https://openalex.org/W4391892574","https://openalex.org/W4401358015","https://openalex.org/W4402716243","https://openalex.org/W6600134738"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Salient":[0],"object":[1],"detection":[2],"in":[3,20,79,151,170],"optical":[4],"remote":[5,21],"sensing":[6,22],"images":[7],"(ORSI-SOD)":[8],"aims":[9],"to":[10,26,64,67,121,136],"automatically":[11],"identify":[12],"the":[13,27,75,102,128,138],"most":[14],"visually":[15],"prominent":[16],"objects":[17],"or":[18],"regions":[19],"images.":[23],"However,":[24],"due":[25],"diverse":[28],"orientations":[29],"and":[30,55,70,93,144,173],"varying":[31],"scales":[32,135],"of":[33,77,130,140],"salient":[34],"objects,":[35],"as":[36,38],"well":[37],"cluttered":[39],"backgrounds,":[40],"it":[41],"remains":[42],"a":[43,52,60,87,94,123],"challenging":[44],"task.":[45],"To":[46],"tackle":[47],"these":[48],"issues,":[49],"we":[50],"propose":[51],"direction-aware":[53,89],"attention":[54,90,103],"semantic":[56,132],"guidance":[57],"network":[58],"(DASGNet),":[59],"novel":[61],"framework":[62],"designed":[63],"enhance":[65],"sensitivity":[66],"both":[68,171],"orientation":[69,106,115],"multi-scale":[71,88,114],"information":[72,111,133,143],"while":[73,112],"improving":[74],"depiction":[76],"boundaries":[78],"complex":[80,152],"scenes.":[81,153],"DASGNet":[82,162],"integrates":[83],"two":[84],"key":[85],"modules:":[86],"module":[91,98],"(MDAM)":[92],"semantic-guided":[95],"edge":[96,148],"reconstruction":[97,139],"(SERM).":[99],"MDAM":[100],"combines":[101],"mechanism":[104],"with":[105],"information,":[107],"effectively":[108],"suppressing":[109],"redundant":[110],"capturing":[113],"features.":[116],"SERM":[117],"employs":[118],"3D":[119],"convolution":[120],"construct":[122],"stereoscopic":[124],"receptive":[125],"field,":[126],"facilitating":[127],"integration":[129],"high-level":[131],"across":[134],"guide":[137],"low-level":[141],"texture":[142],"thereby":[145],"achieving":[146,167],"precise":[147],"delineation,":[149],"particularly":[150],"Extensive":[154],"experiments":[155],"on":[156],"three":[157],"benchmark":[158],"datasets":[159],"demonstrate":[160],"that":[161],"outperforms":[163],"14":[164],"state-of-the-art":[165],"methods,":[166],"significant":[168],"improvements":[169],"accuracy":[172],"precision.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}