{"id":"https://openalex.org/W4416582489","doi":"https://doi.org/10.1109/tip.2025.3633990","title":"High-Resolution Underwater Creature Segmentation","display_name":"High-Resolution Underwater Creature Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416582489","doi":"https://doi.org/10.1109/tip.2025.3633990","pmid":"https://pubmed.ncbi.nlm.nih.gov/41284419"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3633990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3633990","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","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/A5073802425","display_name":"Haijing Wu","orcid":"https://orcid.org/0000-0002-6338-5089"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiyang Wu","raw_affiliation_strings":["School of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000581688","display_name":"Qiuping Jiang","orcid":"https://orcid.org/0000-0002-6025-9343"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuping Jiang","raw_affiliation_strings":["School of Information Science and Engineering, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023784","display_name":"Zongwei Wu","orcid":"https://orcid.org/0000-0001-7772-4152"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zongwei Wu","raw_affiliation_strings":["Computer Vision Laboratory, University of Würzburg, Würzburg, Germany","Computer Vision Lab, University of Wuerzburg, Wuerzburg, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, University of Würzburg, Würzburg, Germany","institution_ids":["https://openalex.org/I25974101"]},{"raw_affiliation_string":"Computer Vision Lab, University of Wuerzburg, Wuerzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091558139","display_name":"Runmin Cong","orcid":"https://orcid.org/0000-0003-0972-4008"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Cong","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088809198","display_name":"C\u00e9dric Demonceaux","orcid":"https://orcid.org/0000-0001-6916-1273"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]},{"id":"https://openalex.org/I4210144888","display_name":"Business France","ror":"https://ror.org/03x542r19","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210144888"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C\u00e9dric Demonceaux","raw_affiliation_strings":["CNRS, ICB UMR 6303, Université Bourgogne Europe, Dijon, France","ICB UMR CNRS 6303, University of Burgundy, Dijon, France"],"affiliations":[{"raw_affiliation_string":"CNRS, ICB UMR 6303, Université Bourgogne Europe, Dijon, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I177064439"]},{"raw_affiliation_string":"ICB UMR CNRS 6303, University of Burgundy, Dijon, France","institution_ids":["https://openalex.org/I4210144888","https://openalex.org/I1294671590","https://openalex.org/I177064439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["School of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5073802425"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36963976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"7759","last_page":"7772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.33649998903274536,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.33649998903274536,"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/T11019","display_name":"Image Enhancement Techniques","score":0.24289999902248383,"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/T10659","display_name":"Marine animal studies overview","score":0.11420000344514847,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6116999983787537},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5286999940872192},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5038999915122986},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.448199987411499},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4474000036716461},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4388999938964844},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.43650001287460327},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.40059998631477356},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.39419999718666077},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.3693999946117401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925999760627747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6782000064849854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6116999983787537},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5286999940872192},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5038999915122986},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.448199987411499},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4388999938964844},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4092000126838684},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.39419999718666077},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3564000129699707},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.2937999963760376},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2858000099658966},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2547999918460846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3633990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3633990","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41284419","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41284419","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1498238238","https://openalex.org/W1982075130","https://openalex.org/W1994922096","https://openalex.org/W2021204697","https://openalex.org/W2100470808","https://openalex.org/W2132083787","https://openalex.org/W2194775991","https://openalex.org/W2316768868","https://openalex.org/W2470139095","https://openalex.org/W2883254424","https://openalex.org/W2963334022","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2981689412","https://openalex.org/W2989161706","https://openalex.org/W2998449272","https://openalex.org/W3025800305","https://openalex.org/W3034438741","https://openalex.org/W3034684132","https://openalex.org/W3090063164","https://openalex.org/W3110440461","https://openalex.org/W3131182250","https://openalex.org/W3132413796","https://openalex.org/W3168112135","https://openalex.org/W3173370190","https://openalex.org/W3182849571","https://openalex.org/W3196904463","https://openalex.org/W3203718853","https://openalex.org/W3207810281","https://openalex.org/W4214561053","https://openalex.org/W4283813802","https://openalex.org/W4285310685","https://openalex.org/W4289752563","https://openalex.org/W4304098552","https://openalex.org/W4312964941","https://openalex.org/W4313170506","https://openalex.org/W4315490105","https://openalex.org/W4323892348","https://openalex.org/W4362653528","https://openalex.org/W4365479090","https://openalex.org/W4367663208","https://openalex.org/W4382450131","https://openalex.org/W4382877880","https://openalex.org/W4390874575","https://openalex.org/W4391992698","https://openalex.org/W4401634900","https://openalex.org/W4404056751","https://openalex.org/W4404654775","https://openalex.org/W4405755025","https://openalex.org/W4406857697"],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"creature":[1],"segmentation":[2,49],"(UCS)":[3],"is":[4],"critical":[5,40],"for":[6,63,89,209,216],"marine":[7],"research":[8],"and":[9,17,47,85,100,114,158,198,211,221],"robotics":[10],"but":[11],"faces":[12],"unique":[13],"challenges:":[14],"environmental":[15,86],"distortions":[16],"biological":[18],"traits":[19],"that":[20,166,190],"distinguish":[21],"it":[22,139],"from":[23],"terrestrial":[24],"segmentation.":[25,218],"While":[26],"deep":[27],"learning":[28],"advances":[29],"exist,":[30],"current":[31],"UCS":[32,210],"models":[33,128,222],"are":[34,223],"constrained":[35],"to":[36,104,134,172],"low-resolution":[37],"inputs,":[38],"losing":[39],"details":[41],"when":[42],"processing":[43],"high-resolution":[44],"(HR)":[45],"imagery":[46],"degrading":[48],"precision.":[50,186],"To":[51],"bridge":[52],"this":[53],"gap,":[54],"we":[55,94],"introduce":[56],"UCS4K,":[57],"the":[58,106,141,149,156,159,205],"first":[59,206],"large-scale":[60],"HR":[61,121,207],"dataset":[62],"UCS,":[64],"containing":[65],"4,096":[66],"images":[67],"with":[68],"pixel-wise":[69],"annotations.":[70],"UCS4K":[71,197],"offers":[72],"4":[73],"times":[74],"higher":[75],"average":[76],"resolution":[77],"than":[78],"existing":[79,200],"datasets,":[80],"covering":[81],"diverse":[82],"species,":[83],"habitats,":[84],"complexities":[87],"essential":[88],"robust":[90],"model":[91],"training.":[92],"Additionally,":[93],"propose":[95],"a":[96,117,125,213],"Resolution-Asymmetric":[97],"Dual-branch":[98],"Alignment":[99,152],"Refinement":[101,162],"(RADAR)":[102],"network":[103],"address":[105],"efficiency-receptiveness":[107],"trade-off":[108],"in":[109,155],"HR-UCS.":[110],"RADAR":[111,191],"decouples":[112],"context":[113,181],"detail":[115],"processing:":[116],"CNN":[118],"branch":[119,127],"preserves":[120],"spatial":[122,185],"details,":[123],"while":[124],"Transformer":[126],"global":[129],"semantics":[130],"on":[131,196],"downsampled":[132],"inputs":[133],"avoid":[135],"quadratic":[136],"complexity.":[137],"Crucially,":[138],"resolves":[140],"inherent":[142],"semantic":[143],"misalignment":[144],"issue":[145],"between":[146],"branches":[147],"via":[148],"Global":[150],"Semantic":[151],"(GSA)":[153],"module":[154],"encoder":[157],"Bidirectional":[160],"Collaborative":[161],"(BCR)":[163],"module-embedded":[164],"decoder":[165],"progressively":[167],"integrates":[168],"multi-scale":[169],"encoding":[170],"features":[171],"sharpen":[173],"boundaries.":[174],"This":[175],"asymmetric":[176],"design":[177],"ensures":[178],"efficient":[179],"long-range":[180],"capture":[182],"without":[183],"sacrificing":[184],"Extensive":[187],"benchmarks":[188],"demonstrate":[189],"sets":[192],"new":[193],"state-of-the-art":[194],"performance":[195],"other":[199],"datasets.":[201],"Our":[202],"contributions":[203],"establish":[204],"benchmark":[208],"deliver":[212],"scalable":[214],"framework":[215],"high-precision":[217],"Dataset,":[219],"code,":[220],"available":[224],"at":[225],"https://github.com/WHYfromNUT/RADAR.":[226]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-25T00:00:00"}