{"id":"https://openalex.org/W4400682521","doi":"https://doi.org/10.4018/ijswis.345651","title":"Differential Feature Fusion, Triplet Global Attention, and Web Semantic for Pedestrian Detection","display_name":"Differential Feature Fusion, Triplet Global Attention, and Web Semantic for Pedestrian Detection","publication_year":2024,"publication_date":"2024-07-16","ids":{"openalex":"https://openalex.org/W4400682521","doi":"https://doi.org/10.4018/ijswis.345651"},"language":"en","primary_location":{"id":"doi:10.4018/ijswis.345651","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijswis.345651","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=345651&isxn=9798369324684","source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=345651&isxn=9798369324684","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035782099","display_name":"Sha Tao","orcid":"https://orcid.org/0000-0003-1883-6079"},"institutions":[{"id":"https://openalex.org/I4210159152","display_name":"Tongling University","ror":"https://ror.org/04kqvjg13","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159152"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sha Tao","raw_affiliation_strings":["Tongling University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongling University, China","institution_ids":["https://openalex.org/I4210159152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036042945","display_name":"Zhenfeng Wang","orcid":"https://orcid.org/0000-0001-8027-5730"},"institutions":[{"id":"https://openalex.org/I4210159152","display_name":"Tongling University","ror":"https://ror.org/04kqvjg13","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159152"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Wang","raw_affiliation_strings":["Tongling University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongling University, China","institution_ids":["https://openalex.org/I4210159152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.09195654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/feature","display_name":"Feature (linguistics)","score":0.6203864812850952},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6164493560791016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5770624876022339},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.5579450130462646},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5288969874382019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4230804443359375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41376882791519165},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3299911320209503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10908323526382446},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08528748154640198}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6203864812850952},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6164493560791016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770624876022339},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.5579450130462646},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5288969874382019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4230804443359375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41376882791519165},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3299911320209503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10908323526382446},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08528748154640198},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijswis.345651","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijswis.345651","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=345651&isxn=9798369324684","source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4018/ijswis.345651","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijswis.345651","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=345651&isxn=9798369324684","source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400682521.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2594507094","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2962766617","https://openalex.org/W3034638324","https://openalex.org/W3082231033","https://openalex.org/W3084389333","https://openalex.org/W3092665420","https://openalex.org/W3092687228","https://openalex.org/W3108815824","https://openalex.org/W3120450981","https://openalex.org/W3143466921","https://openalex.org/W3172752666","https://openalex.org/W3176886883","https://openalex.org/W3177452291","https://openalex.org/W3204901196","https://openalex.org/W4206973888","https://openalex.org/W4210838854","https://openalex.org/W4214613509","https://openalex.org/W4224300885","https://openalex.org/W4282594145","https://openalex.org/W4285229583","https://openalex.org/W4285232663","https://openalex.org/W4288779509","https://openalex.org/W4297899926","https://openalex.org/W4311495394","https://openalex.org/W4312475441","https://openalex.org/W4312480393","https://openalex.org/W4312610066","https://openalex.org/W4312720927","https://openalex.org/W4312780810","https://openalex.org/W4313192438","https://openalex.org/W4321792464","https://openalex.org/W4323647604","https://openalex.org/W4377142736","https://openalex.org/W4384038075","https://openalex.org/W4386075558","https://openalex.org/W4386365927","https://openalex.org/W4387058123"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2364155688","https://openalex.org/W2046522763","https://openalex.org/W2366916257","https://openalex.org/W2375847997","https://openalex.org/W2072836406","https://openalex.org/W2391772185","https://openalex.org/W2061641547","https://openalex.org/W4386420450"],"abstract_inverted_index":{"In":[0],"complex":[1],"environments":[2],"and":[3,31,86,130,139],"crowded":[4],"pedestrian":[5,43,120],"scenes,":[6],"the":[7,61,111],"overlap":[8],"or":[9],"loss":[10],"of":[11,60,108],"local":[12],"features":[13,30,100],"is":[14],"a":[15,25,41,75,92],"pressing":[16],"issue.":[17],"However,":[18],"existing":[19],"methods":[20],"often":[21],"struggle":[22],"to":[23,67,82,124],"strike":[24],"balance":[26],"between":[27,101],"eliminating":[28],"interfering":[29],"establishing":[32],"feature":[33,58,70,84],"connections.":[34],"To":[35],"address":[36],"this":[37],"challenge,":[38],"we":[39,73,90,126],"introduce":[40,68,74,91],"novel":[42],"detection":[44,121],"approach":[45],"called":[46],"Differential":[47,93],"Feature":[48,94],"Fusion":[49,95],"under":[50],"Triplet":[51,77],"Global":[52,78],"Attention":[53,79],"(DFFTGA).":[54],"This":[55,106],"method":[56],"merges":[57],"maps":[59],"same":[62],"size":[63],"from":[64],"different":[65],"stages":[66],"richer":[69],"information.":[71],"Specifically,":[72],"pixel-level":[76],"(TGA)":[80],"module":[81],"enhance":[83],"representation":[85],"perceptual":[87],"range.":[88],"Additionally,":[89],"(DFF)":[96],"module,":[97],"which":[98],"optimizes":[99],"similar":[102],"nodes":[103],"for":[104],"filtering.":[105],"series":[107],"operations":[109],"helps":[110],"model":[112],"focus":[113],"more":[114],"on":[115,134],"discriminative":[116],"features,":[117],"ultimately":[118],"improving":[119],"performance.":[122],"Compared":[123],"benchmarks,":[125],"achieve":[127],"significant":[128],"improvements":[129],"demonstrate":[131],"outstanding":[132],"performance":[133],"datasets":[135],"such":[136],"as":[137],"CityPersons":[138],"CrowdHuman.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}