{"id":"https://openalex.org/W4403535045","doi":"https://doi.org/10.1109/icarm62033.2024.10715771","title":"FIoU loss: Towards Accurate One-stage Object Detector with Better Bounding Box Regression","display_name":"FIoU loss: Towards Accurate One-stage Object Detector with Better Bounding Box Regression","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403535045","doi":"https://doi.org/10.1109/icarm62033.2024.10715771"},"language":"en","primary_location":{"id":"doi:10.1109/icarm62033.2024.10715771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm62033.2024.10715771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5075864940","display_name":"Hao Zhao","orcid":"https://orcid.org/0000-0003-3710-333X"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Zhao","raw_affiliation_strings":["Southwest University of Science and Technology,School of Information Engineering,Mianyang,China,621000"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Information Engineering,Mianyang,China,621000","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102738750","display_name":"Hao Deng","orcid":"https://orcid.org/0000-0001-9417-6629"},"institutions":[{"id":"https://openalex.org/I3130456415","display_name":"Mianyang Normal University","ror":"https://ror.org/02rka3n91","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130456415"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Deng","raw_affiliation_strings":["faculty of Mianyang teachers&#x2019; college"],"affiliations":[{"raw_affiliation_string":"faculty of Mianyang teachers&#x2019; college","institution_ids":["https://openalex.org/I3130456415"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079521716","display_name":"Jian\u2010An Huang","orcid":"https://orcid.org/0000-0002-6564-5972"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixiang Huang","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101434299","display_name":"Ju Zhou","orcid":"https://orcid.org/0000-0003-4014-7739"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju Zhou","raw_affiliation_strings":["Southwest University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075864940"],"corresponding_institution_ids":["https://openalex.org/I1297991670"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18507262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"637","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9916999936103821,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.889664888381958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6668165922164917},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6302233934402466},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6249725818634033},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5928019285202026},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5381918549537659},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4824245870113373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4098619222640991},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29154253005981445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2342258095741272},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.052462995052337646}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.889664888381958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668165922164917},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6302233934402466},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6249725818634033},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5928019285202026},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5381918549537659},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4824245870113373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4098619222640991},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29154253005981445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2342258095741272},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.052462995052337646},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm62033.2024.10715771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm62033.2024.10715771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323711","display_name":"Southwest University","ror":"https://ror.org/01kj4z117"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2193145675","https://openalex.org/W2504335775","https://openalex.org/W2962766617","https://openalex.org/W2963351448","https://openalex.org/W2967636939","https://openalex.org/W2989604896","https://openalex.org/W2991391304","https://openalex.org/W2997747012","https://openalex.org/W3014595575","https://openalex.org/W3017194036","https://openalex.org/W3092663126","https://openalex.org/W3111445687","https://openalex.org/W3138516171","https://openalex.org/W3157243312","https://openalex.org/W3159885298","https://openalex.org/W3171660447","https://openalex.org/W3210586215","https://openalex.org/W4214507171","https://openalex.org/W4280585723","https://openalex.org/W4289752563","https://openalex.org/W4296518597","https://openalex.org/W4308906186","https://openalex.org/W4320490422","https://openalex.org/W6746776673","https://openalex.org/W6779586474"],"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":{"Object":[0],"detection":[1],"is":[2,43,180,200,212,228,240],"used":[3,181],"to":[4,26,57,115,126,205,217,233,245],"predict":[5],"categories":[6],"and":[7,148,173,252],"locations":[8],"of":[9,35,41,76,83,132,145,198,210,226,238,254],"potential":[10],"instances,":[11],"which":[12,97,157],"provides":[13],"important":[14],"decision-support":[15],"for":[16,140,185],"robots.":[17],"Compared":[18],"with":[19,162,176],"the":[20,31,39,47,66,73,81,99,106,116,121,130,142,168,177,183,193,222,255],"classification":[21,51,61],"sub-task,":[22],"it\u2019s":[23],"more":[24,124],"difficult":[25],"obtain":[27],"accurate":[28],"location":[29],"in":[30,60],"regression":[32,63,68,84,95,100,117,155,164],"sub-task":[33],"because":[34],"two":[36,103],"drawbacks.":[37],"Firstly,":[38],"backbone":[40,184],"detector":[42],"often":[44],"initialized":[45],"by":[46],"weights":[48],"pretrained":[49],"on":[50,154],"datasets":[52],"(e.g.":[53],"ImageNet),":[54],"easily":[55],"leading":[56],"better":[58],"performance":[59],"than":[62],"task.":[64],"Secondly,":[65],"existing":[67],"loss":[69,133,152,160],"functions":[70],"fully":[71],"consider":[72],"geometric":[74],"distance":[75],"bounding":[77,93],"boxes":[78],"but":[79],"ignore":[80],"influence":[82],"difficulty.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89,109,135],"proposed":[90,169,256],"a":[91,111,137,150],"novel":[92],"box":[94],"method,":[96],"optimizes":[98],"task":[101],"from":[102,202,214,230,242],"perspectives.":[104],"For":[105,129],"feature":[107,122],"optimization,":[108],"introduce":[110],"spatial-attention-based":[112],"(SAB)":[113],"layer":[114],"head":[118],"network,":[119],"making":[120],"pays":[123],"attention":[125],"spatial":[127],"location.":[128],"optimization":[131],"function,":[134],"present":[136],"concise":[138],"method":[139],"calculating":[141],"penalty":[143],"term":[144],"aspect":[146],"ratio":[147],"construct":[149],"new":[151],"based":[153],"difficulty,":[156],"dynamically":[158],"balances":[159],"scales":[161],"different":[163],"difficulties.":[165],"We":[166],"incorporate":[167],"strategies":[170],"into":[171],"RetinaNet":[172,199,227],"FCOS.":[174],"Resnet-50":[175],"pre-trained":[178],"weight":[179],"as":[182],"training":[186],"these":[187],"object":[188],"detectors.":[189],"On":[190,220],"Pascal":[191],"VOC,":[192],"mean":[194],"Average":[195,223],"Precision":[196,224],"(mAP)":[197],"boosted":[201,229],"$81.27":[203],"\\%$":[204,216,232,244],"$83.12":[206],"\\%$.":[207,219,235,247],"The":[208,236],"mAP":[209],"FCOS":[211,239],"increased":[213],"$76.50":[215],"$78.49":[218],"MSCOCO,":[221],"(AP)":[225],"$33.5":[231],"$33.9":[234],"AP":[237],"improved":[241],"$34.9":[243],"$35.4":[246],"Experimental":[248],"results":[249],"manifest":[250],"effectiveness":[251],"generality":[253],"method.":[257]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
