{"id":"https://openalex.org/W7160331614","doi":"https://doi.org/10.1109/wacv61042.2026.00731","title":"RampWatch: An In-the-Wild Dataset and Text-Guided Detection Framework for Recreational Vessels","display_name":"RampWatch: An In-the-Wild Dataset and Text-Guided Detection Framework for Recreational Vessels","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160331614","doi":"https://doi.org/10.1109/wacv61042.2026.00731"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"article","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/A5030144812","display_name":"Malik Muhammad Asim","orcid":null},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Malik Muhammad Asim","raw_affiliation_strings":["Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia","institution_ids":["https://openalex.org/I12079687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046584137","display_name":"C.B. Smallwood","orcid":"https://orcid.org/0000-0002-2680-1880"},"institutions":[{"id":"https://openalex.org/I4210105921","display_name":"Department of Primary Industries and Regional Development","ror":"https://ror.org/01awp2978","country_code":"AU","type":"government","lineage":["https://openalex.org/I2799506148","https://openalex.org/I4210105921"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Claire B. Smallwood","raw_affiliation_strings":["Aquatic Science and Assessment,Department of Primary Industries and Regional Development,Hillarys,WA,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aquatic Science and Assessment,Department of Primary Industries and Regional Development,Hillarys,WA,Australia","institution_ids":["https://openalex.org/I4210105921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063183388","display_name":"Abdullah Tariq","orcid":null},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abdullah Tariq","raw_affiliation_strings":["Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia","institution_ids":["https://openalex.org/I12079687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091214692","display_name":"Johnny Lo","orcid":"https://orcid.org/0000-0003-1913-5354"},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Johnny Lo","raw_affiliation_strings":["Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia","institution_ids":["https://openalex.org/I12079687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135289043","display_name":"Syed Zulqarnain Gilani","orcid":null},"institutions":[{"id":"https://openalex.org/I12079687","display_name":"Edith Cowan University","ror":"https://ror.org/05jhnwe22","country_code":"AU","type":"education","lineage":["https://openalex.org/I12079687"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Syed Zulqarnain Gilani","raw_affiliation_strings":["Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edith Cowan University,Centre of AI & ML (CAIML), School of Science,Australia","institution_ids":["https://openalex.org/I12079687"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69404071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7576","last_page":"7585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.18870000541210175,"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":0.18870000541210175,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.07980000227689743,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.05180000141263008,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.24410000443458557},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2402999997138977},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.2321999967098236},{"id":"https://openalex.org/keywords/recreation","display_name":"Recreation","score":0.23149999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4812000095844269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30250000953674316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.24410000443458557},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2402999997138977},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.23240000009536743},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2321999967098236},{"id":"https://openalex.org/C110269972","wikidata":"https://www.wikidata.org/wiki/Q184872","display_name":"Recreation","level":2,"score":0.23149999976158142},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2290000021457672},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.22120000422000885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7587384581565857,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308611","display_name":"Health Research","ror":"https://ror.org/059qgvg50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2193145675","https://openalex.org/W2592507559","https://openalex.org/W2885291434","https://openalex.org/W2944659700","https://openalex.org/W2948672349","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2966926453","https://openalex.org/W3096609285","https://openalex.org/W3135895574","https://openalex.org/W3149758324","https://openalex.org/W3173859428","https://openalex.org/W3194765692","https://openalex.org/W3209369922","https://openalex.org/W3211328899","https://openalex.org/W4220681577","https://openalex.org/W4289752563","https://openalex.org/W4295046667","https://openalex.org/W4323663069","https://openalex.org/W4327956269","https://openalex.org/W4366446955","https://openalex.org/W4382469019","https://openalex.org/W4385422795","https://openalex.org/W4385573131","https://openalex.org/W4387082210","https://openalex.org/W4388713799","https://openalex.org/W4402716047","https://openalex.org/W4404612908","https://openalex.org/W4405714127","https://openalex.org/W4409366960","https://openalex.org/W4410106606","https://openalex.org/W4413145645","https://openalex.org/W7138173137","https://openalex.org/W7160077650"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"small,":[1],"recreational":[2,31,76],"vessels":[3],"in":[4,35,47,89,164],"coastal":[5],"environments":[6],"remains":[7],"a":[8,95,103,110,119,127,141,160],"challenge":[9],"due":[10],"to":[11],"complex":[12],"backgrounds,":[13],"dynamic":[14],"lighting":[15],"conditions,":[16],"and":[17,38,83,109,172,186,203],"the":[18,182,189,198],"scarcity":[19],"of":[20,75,179,200],"annotated":[21],"data":[22],"for":[23,106,113,206],"non-commercial":[24],"maritime":[25,209],"traffic.":[26],"Despite":[27],"their":[28],"socio-economic":[29],"significance,":[30],"boats":[32],"are":[33,39,124,138,147],"underrepresented":[34],"existing":[36],"datasets":[37,205],"poorly":[40],"detected":[41],"by":[42,140],"standard":[43],"object":[44],"detectors,":[45],"particularly":[46],"open-vocabulary":[48,107],"scenarios.":[49],"To":[50,86],"address":[51],"this":[52,90],"gap,":[53],"we":[54,92],"present":[55],"RampWatch,":[56,171],"an":[57],"in-the-wild":[58],"dataset":[59],"curated":[60],"from":[61,134],"surveillance":[62],"footage":[63],"at":[64],"multiple":[65],"boat":[66],"ramps.":[67],"RampWatch":[68],"provides":[69],"instance":[70],"annotations":[71],"across":[72],"7":[73],"categories":[74],"vessels,":[77],"captured":[78],"under":[79],"diverse":[80],"weather,":[81],"lighting,":[82],"occlusion":[84],"conditions.":[85],"benchmark":[87],"detection":[88,97,155],"domain,":[91],"introduce":[93],"YOLO-TG,":[94],"novel":[96],"framework":[98],"that":[99],"augments":[100],"YOLOv11":[101,168],"with":[102,177],"text":[104],"encoder":[105],"recognition":[108],"self-attention":[111],"module":[112],"enhanced":[114],"spatial":[115],"reasoning.":[116],"YOLO-TG":[117,158],"adopts":[118],"dual-stream":[120],"design:":[121],"visual":[122],"features":[123],"extracted":[125],"via":[126,149],"hierarchical":[128],"YOLO":[129],"backbone,":[130],"while":[131],"semantic":[132],"embeddings":[133],"natural":[135],"language":[136,143],"prompts":[137],"encoded":[139],"frozen":[142],"encoder.":[144],"These":[145,195],"modalities":[146],"fused":[148],"lightweight":[150],"cross-modal":[151,201],"attention,":[152],"enabling":[153],"text-guided":[154],"without":[156],"retraining.":[157],"achieves":[159],"+12%":[161],"relative":[162],"improvement":[163],"mAP@50\u201395":[165],"over":[166],"strong":[167],"baselines":[169],"on":[170,181,188],"demonstrates":[173],"robust":[174],"cross-domain":[175],"generalization,":[176],"gains":[178],"+22%":[180],"Singapore":[183],"Maritime":[184],"Dataset":[185],"+4.3%":[187],"Split":[190],"Port":[191],"Ship":[192],"Classification":[193],"Dataset.":[194],"results":[196],"highlight":[197],"effectiveness":[199],"grounding":[202],"domain-specific":[204],"advancing":[207],"open-world":[208],"surveillance.":[210]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}