{"id":"https://openalex.org/W4416513217","doi":"https://doi.org/10.1109/tpami.2025.3635136","title":"VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection With Two-Stage Optimization","display_name":"VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection With Two-Stage Optimization","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W4416513217","doi":"https://doi.org/10.1109/tpami.2025.3635136","pmid":"https://pubmed.ncbi.nlm.nih.gov/41269851"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3635136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3635136","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5114803621","display_name":"Ziyang Luo","orcid":"https://orcid.org/0009-0009-4522-6525"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Luo","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0009-4522-6525","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377352","display_name":"Nian Liu","orcid":"https://orcid.org/0000-0002-0825-6081"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nian Liu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0825-6081","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101107132","display_name":"Yang Xuguang","orcid":"https://orcid.org/0009-0009-0981-9147"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuguang Yang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0009-0981-9147","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954574","display_name":"Dingwen Zhang","orcid":"https://orcid.org/0000-0001-8369-8886"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingwen Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8369-8886","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056294284","display_name":"Deng-Ping Fan","orcid":"https://orcid.org/0000-0002-5245-7518"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deng-Ping Fan","raw_affiliation_strings":["TBI Center, CS, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5245-7518","affiliations":[{"raw_affiliation_string":"TBI Center, CS, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760570","display_name":"Fahad Shahbaz Khan","orcid":"https://orcid.org/0000-0002-4263-3143"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Fahad Shahbaz Khan","raw_affiliation_strings":["Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-4263-3143","affiliations":[{"raw_affiliation_string":"Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012529382","display_name":"Junwei Han","orcid":"https://orcid.org/0000-0001-5545-7217"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Han","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-5545-7217","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5458,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70145317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"48","issue":"3","first_page":"3137","last_page":"3153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9937999844551086,"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":0.9937999844551086,"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/T10997","display_name":"Ocular Surface and Contact Lens","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13219","display_name":"Mind wandering and attention","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5885999798774719},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5029000043869019},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.47909998893737793},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46299999952316284},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4593000113964081},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45719999074935913},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4514999985694885},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.40540000796318054},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3799999952316284},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3779999911785126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129000067710876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704800009727478},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5885999798774719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5860999822616577},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4514999985694885},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.40540000796318054},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2779542340","wikidata":"https://www.wikidata.org/wiki/Q1062461","display_name":"Learning object","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2703000009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3635136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3635136","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41269851","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41269851","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2432381507","display_name":null,"funder_award_id":"62476143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5555613037","display_name":null,"funder_award_id":"62036011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5706494817","display_name":null,"funder_award_id":"U20B2065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6503158798","display_name":null,"funder_award_id":"6202781","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8584449773","display_name":null,"funder_award_id":"62136007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G879442631","display_name":null,"funder_award_id":"62036005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":114,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1849277567","https://openalex.org/W1894057436","https://openalex.org/W1976409045","https://openalex.org/W1993713494","https://openalex.org/W2002781701","https://openalex.org/W2039313011","https://openalex.org/W2076756823","https://openalex.org/W2086791339","https://openalex.org/W2110019070","https://openalex.org/W2138682569","https://openalex.org/W2160613239","https://openalex.org/W2171378720","https://openalex.org/W2194775991","https://openalex.org/W2326050853","https://openalex.org/W2358876993","https://openalex.org/W2461475918","https://openalex.org/W2470139095","https://openalex.org/W2569272946","https://openalex.org/W2605793178","https://openalex.org/W2615981376","https://openalex.org/W2740667773","https://openalex.org/W2757028014","https://openalex.org/W2780708736","https://openalex.org/W2798791651","https://openalex.org/W2798807298","https://openalex.org/W2799108379","https://openalex.org/W2807746031","https://openalex.org/W2808442315","https://openalex.org/W2887486131","https://openalex.org/W2895340898","https://openalex.org/W2912857574","https://openalex.org/W2943545929","https://openalex.org/W2945809413","https://openalex.org/W2948300571","https://openalex.org/W2948537313","https://openalex.org/W2957414648","https://openalex.org/W2961348656","https://openalex.org/W2963430933","https://openalex.org/W2963529609","https://openalex.org/W2963685207","https://openalex.org/W2963868681","https://openalex.org/W2963897031","https://openalex.org/W2965638232","https://openalex.org/W2984144959","https://openalex.org/W2990984982","https://openalex.org/W2995936506","https://openalex.org/W2997217064","https://openalex.org/W3002301267","https://openalex.org/W3010616503","https://openalex.org/W3019728440","https://openalex.org/W3034185160","https://openalex.org/W3034320133","https://openalex.org/W3034684132","https://openalex.org/W3035422681","https://openalex.org/W3035687312","https://openalex.org/W3039479109","https://openalex.org/W3039991645","https://openalex.org/W3044364325","https://openalex.org/W3090457550","https://openalex.org/W3097053213","https://openalex.org/W3097848036","https://openalex.org/W3106587394","https://openalex.org/W3107944836","https://openalex.org/W3108460979","https://openalex.org/W3108812909","https://openalex.org/W3114152269","https://openalex.org/W3122006940","https://openalex.org/W3138516171","https://openalex.org/W3166092877","https://openalex.org/W3173782971","https://openalex.org/W3176152216","https://openalex.org/W3179443972","https://openalex.org/W3185043317","https://openalex.org/W3189374147","https://openalex.org/W3195259700","https://openalex.org/W3202285299","https://openalex.org/W3203092180","https://openalex.org/W3204197760","https://openalex.org/W3204643350","https://openalex.org/W3209732904","https://openalex.org/W4214561053","https://openalex.org/W4221151441","https://openalex.org/W4225531230","https://openalex.org/W4283707199","https://openalex.org/W4312258849","https://openalex.org/W4312651322","https://openalex.org/W4312699294","https://openalex.org/W4312880622","https://openalex.org/W4312887531","https://openalex.org/W4312964941","https://openalex.org/W4315606099","https://openalex.org/W4319300005","https://openalex.org/W4321021980","https://openalex.org/W4362654014","https://openalex.org/W4385809408","https://openalex.org/W4386065718","https://openalex.org/W4386065815","https://openalex.org/W4386066126","https://openalex.org/W4386071839","https://openalex.org/W4386072314","https://openalex.org/W4386075647","https://openalex.org/W4386075814","https://openalex.org/W4386076039","https://openalex.org/W4386076112","https://openalex.org/W4389297186","https://openalex.org/W4390871785","https://openalex.org/W4390873795","https://openalex.org/W4394773652","https://openalex.org/W4401328675","https://openalex.org/W4402727868","https://openalex.org/W4402733565","https://openalex.org/W4404562813","https://openalex.org/W4413157887"],"related_works":[],"abstract_inverted_index":{"Salient":[0],"object":[1,6],"detection":[2,7],"(SOD)":[3],"and":[4,38,55,66,77,113,188,199,209],"camouflaged":[5],"(COD)":[8],"are":[9],"related":[10],"but":[11],"distinct":[12],"binary":[13],"mapping":[14],"tasks,":[15,153,216],"each":[16],"involving":[17],"multiple":[18],"modalities":[19],"that":[20,49,125],"share":[21],"commonalities":[22],"while":[23],"maintaining":[24],"unique":[25],"characteristics.":[26,157],"Existing":[27],"approaches":[28],"often":[29],"rely":[30],"on":[31],"complex,":[32],"task-specific":[33,78],"architectures,":[34],"leading":[35],"to":[36,74,85,102,134,182,214],"redundancy":[37],"limited":[39],"generalization.":[40],"Our":[41],"previous":[42,96],"work,":[43],"VSCode,":[44,98],"introduced":[45],"a":[46,81,127,145,175],"generalist":[47],"model":[48,65,111],"effectively":[50,204],"handles":[51,205],"four":[52],"SOD":[53,198],"tasks":[54],"two":[56],"COD":[57,200],"tasks.":[58,201],"VSCode":[59],"leveraged":[60],"VST":[61],"as":[62,218],"its":[63],"foundation":[64],"incorporated":[67],"2D":[68],"prompts":[69,187],"within":[70],"an":[71,123],"encoder-decoder":[72],"framework":[73],"capture":[75],"domain":[76],"knowledge,":[79],"utilizing":[80],"prompt":[82],"discrimination":[83],"loss":[84],"optimize":[86],"the":[87,91,141,184],"model.":[88,171],"Building":[89],"upon":[90],"proven":[92],"effectiveness":[93],"of":[94,129],"our":[95,168],"work":[97],"we":[99,120,164,173],"identify":[100],"opportunities":[101],"further":[103],"strengthen":[104,183],"generalization":[105,212],"capabilities":[106],"through":[107],"focused":[108],"modifications":[109],"in":[110],"design":[112],"optimization":[114],"strategy.":[115],"To":[116,158],"unlock":[117],"this":[118,162],"potential,":[119],"propose":[121,174],"VSCode-v2,":[122],"extension":[124],"introduces":[126],"Mixture":[128],"Prompt":[130],"Experts":[131],"(MoPE)":[132],"layer":[133],"generate":[135],"adaptive":[136],"prompts.":[137],"We":[138],"also":[139],"redesign":[140],"training":[142],"process":[143],"into":[144],"two-stage":[146],"approach:":[147],"first":[148],"learning":[149,177],"shared":[150],"features":[151],"across":[152,196],"then":[154],"capturing":[155],"specific":[156],"preserve":[159],"knowledge":[160],"during":[161],"process,":[163],"incorporate":[165],"distillation":[166],"from":[167],"conference":[169],"version":[170],"Furthermore,":[172],"contrastive":[176],"mechanism":[178],"with":[179],"data":[180],"augmentation":[181],"relationships":[185],"between":[186],"feature":[189],"representations.":[190],"VSCode-v2":[191,203],"demonstrates":[192],"balanced":[193],"performance":[194],"improvements":[195],"six":[197],"Moreover,":[202],"various":[206],"multimodal":[207],"inputs":[208],"exhibits":[210],"zero-shot":[211],"capability":[213],"novel":[215],"such":[217],"RGB-D":[219],"Video":[220],"SOD.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-11-23T00:00:00"}
