{"id":"https://openalex.org/W4408354548","doi":"https://doi.org/10.1109/icassp49660.2025.10889366","title":"Accelerating Convergence in Bounding Box Regression with a Refined IoU Loss Function","display_name":"Accelerating Convergence in Bounding Box Regression with a Refined IoU Loss Function","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354548","doi":"https://doi.org/10.1109/icassp49660.2025.10889366"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5013222868","display_name":"Enhui Chai","orcid":"https://orcid.org/0000-0003-1298-4564"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Enhui Chai","raw_affiliation_strings":["Northwest University,School of Information Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University,School of Information Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328575","display_name":"Xingyu Li","orcid":"https://orcid.org/0000-0002-0043-316X"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Li","raw_affiliation_strings":["Northwest University,School of Information Science and Technology,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University,School of Information Science and Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020724945","display_name":"Tianxiang Cui","orcid":"https://orcid.org/0000-0002-0102-2581"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Cui","raw_affiliation_strings":["University of Nottingham Ningbo China,School of Computer Science,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham Ningbo China,School of Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044548403","display_name":"Zheng Lu","orcid":"https://orcid.org/0000-0003-4098-2486"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Lu","raw_affiliation_strings":["University of Nottingham Ningbo China,School of Computer Science,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham Ningbo China,School of Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5095907875","display_name":"Fiseha Berhanu Tesema","orcid":null},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fiseha Berhanu Tesema","raw_affiliation_strings":["University of Nottingham Ningbo China,School of Computer Science,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham Ningbo China,School of Computer Science,Ningbo,China","institution_ids":["https://openalex.org/I13591777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013222868"],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":8.1309,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96815664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8058000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.8058000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.7698000073432922,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.7214999794960022,"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/bounding-overwatch","display_name":"Bounding overwatch","score":0.6875661015510559},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6735681295394897},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6243333220481873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5994194149971008},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5340645909309387},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47933825850486755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35399240255355835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3149099349975586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26640743017196655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24461349844932556}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6875661015510559},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6735681295394897},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6243333220481873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5994194149971008},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5340645909309387},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47933825850486755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35399240255355835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3149099349975586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26640743017196655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24461349844932556},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2504335775","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2990763144","https://openalex.org/W3107867277","https://openalex.org/W3122173535","https://openalex.org/W3200932651","https://openalex.org/W4280638902","https://openalex.org/W4286208817","https://openalex.org/W4386076325","https://openalex.org/W4388260648","https://openalex.org/W4388915117","https://openalex.org/W4389100928","https://openalex.org/W4390576162","https://openalex.org/W4401354861","https://openalex.org/W6620707391","https://openalex.org/W6838547440","https://openalex.org/W6849535052","https://openalex.org/W6868582632"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Bounding":[0],"box":[1],"regression":[2],"(BBR)":[3],"is":[4,58,114],"a":[5,59,86,109,124],"critical":[6],"component":[7],"in":[8,37,47,104,123,157],"object":[9,16,145],"detection,":[10],"significantly":[11],"influencing":[12],"the":[13,38,44,50,54,64,74,98,118,130,170,176],"accuracy":[14],"of":[15,40,53,67,120,137,178],"localization.":[17],"However,":[18],"existing":[19],"Intersection":[20],"over":[21],"Union":[22],"(IoU)-based":[23],"loss":[24,88,167],"functions":[25,168],"encounter":[26],"two":[27,81],"primary":[28],"challenges:":[29],"(i)":[30],"The":[31],"penalty":[32],"factor":[33],"configuration":[34],"often":[35],"results":[36],"expansion":[39],"anchor":[41,68,121,135],"boxes":[42,69,122,136],"during":[43],"regression,":[45],"which":[46],"turn":[48],"slows":[49],"convergence":[51],"rate":[52],"loss.":[55],"(ii)":[56],"There":[57],"spatial":[60],"imbalance":[61],"caused":[62],"by":[63],"disproportionate":[65],"influence":[66],"with":[70,73],"minimal":[71],"overlap":[72,99],"ground":[75],"truth":[76],"boxes.":[77],"To":[78],"resolve":[79],"these":[80],"challenges,":[82],"this":[83],"paper":[84],"proposes":[85],"novel":[87],"function":[89],"termed":[90],"Fast-IoU,":[91],"designed":[92],"to":[93,116,132,164],"swiftly":[94],"and":[95,101,151,160],"precisely":[96],"measure":[97],"area":[100],"aspect":[102],"ratio":[103],"BBR.":[105],"Building":[106],"upon":[107],"this,":[108],"dynamic":[110],"non-monotonic":[111],"focusing":[112],"mechanism":[113],"integrated":[115],"evaluate":[117],"quality":[119],"non-linear":[125],"manner.":[126],"Fast-IoU":[127,142],"can":[128],"enhance":[129],"capability":[131],"focus":[133],"on":[134,169],"medium":[138],"quality.":[139],"By":[140],"incorporating":[141],"into":[143],"popular":[144],"detectors":[146],"such":[147],"as":[148],"YOLOv7,":[149],"YOLOv8":[150],"YOLOv10,":[152],"we":[153],"achieved":[154],"an":[155],"increase":[156],"average":[158],"precision":[159],"improved":[161],"performance":[162],"compared":[163],"their":[165],"original":[166],"MS":[171],"COCO":[172],"datasets,":[173],"thus":[174],"validating":[175],"effectiveness":[177],"ourproposed":[179],"improvement":[180],"strategies.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
