{"id":"https://openalex.org/W4390591019","doi":"https://doi.org/10.1109/tmm.2024.3349912","title":"An Efficient Ungrouped Mask Method With two Learnable Parameters for 3D Object Detection","display_name":"An Efficient Ungrouped Mask Method With two Learnable Parameters for 3D Object Detection","publication_year":2024,"publication_date":"2024-01-04","ids":{"openalex":"https://openalex.org/W4390591019","doi":"https://doi.org/10.1109/tmm.2024.3349912"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3349912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3349912","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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":null,"display_name":"Shuai Guo","orcid":"https://orcid.org/0000-0002-3311-5002"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Guo","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3311-5002","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Shi","orcid":"https://orcid.org/0009-0000-7874-3072"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-7874-3072","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060665015","display_name":"Xiaoheng Jiang","orcid":"https://orcid.org/0000-0002-5770-0417"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoheng Jiang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5770-0417","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069492002","display_name":"Pei Lv","orcid":"https://orcid.org/0000-0002-2654-0561"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Lv","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2654-0561","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020993341","display_name":"Qidong Liu","orcid":"https://orcid.org/0000-0002-1154-2927"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qidong Liu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1154-2927","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084053197","display_name":"Yazhou Hu","orcid":"https://orcid.org/0000-0003-1491-0040"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Hu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1491-0040","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China","Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Institute of Artificial Intelligence, Fujian Engineering Research Center of Trusted Artificial Intelligence Analysis and Application, Xiamen University, Xiamen, China","Peng Cheng Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9163-2932","affiliations":[{"raw_affiliation_string":"Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Institute of Artificial Intelligence, Fujian Engineering Research Center of Trusted Artificial Intelligence Analysis and Application, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Peng Cheng Lab, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6885-3451","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Engineering Research Center of Intelligent Swarm Systems, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.305,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4795768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"1003","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.995199978351593,"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":0.995199978351593,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8347655534744263},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7017282247543335},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6479966044425964},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5648165941238403},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5625342130661011},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5420421957969666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5103842616081238},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49500173330307007},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4885476529598236},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.446117639541626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3846760094165802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3588915765285492},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2568047046661377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11406707763671875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8347655534744263},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7017282247543335},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6479966044425964},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5648165941238403},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5625342130661011},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5420421957969666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5103842616081238},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49500173330307007},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4885476529598236},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.446117639541626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3846760094165802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3588915765285492},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2568047046661377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11406707763671875},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3349912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3349912","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5108235030","display_name":null,"funder_award_id":"61903341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6492096624","display_name":null,"funder_award_id":"2022T150590","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G660222862","display_name":null,"funder_award_id":"62276238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7272499820","display_name":null,"funder_award_id":"U21B2037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8306412014","display_name":null,"funder_award_id":"62172371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1923184257","https://openalex.org/W2555618208","https://openalex.org/W2594519801","https://openalex.org/W2780829839","https://openalex.org/W2937816158","https://openalex.org/W2963150697","https://openalex.org/W2963400571","https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W2988715931","https://openalex.org/W3004237909","https://openalex.org/W3034314779","https://openalex.org/W3034428269","https://openalex.org/W3034429258","https://openalex.org/W3034430142","https://openalex.org/W3034579518","https://openalex.org/W3035346742","https://openalex.org/W3096754345","https://openalex.org/W3157424380","https://openalex.org/W3157565033","https://openalex.org/W3159746229","https://openalex.org/W3166470370","https://openalex.org/W3183392001","https://openalex.org/W3188283811","https://openalex.org/W3195614174","https://openalex.org/W3209035582","https://openalex.org/W3216015562","https://openalex.org/W4214526701","https://openalex.org/W4214624153","https://openalex.org/W4214704706","https://openalex.org/W4214777292","https://openalex.org/W4220986814","https://openalex.org/W4226344270","https://openalex.org/W4310078553","https://openalex.org/W4312437143","https://openalex.org/W4312604781","https://openalex.org/W4312616477","https://openalex.org/W4312709167","https://openalex.org/W4319662592","https://openalex.org/W4319878982","https://openalex.org/W4321482463","https://openalex.org/W4353004817","https://openalex.org/W4367359633","https://openalex.org/W4376607688","https://openalex.org/W4379659745","https://openalex.org/W4380551670","https://openalex.org/W4382465451","https://openalex.org/W4385245566","https://openalex.org/W4386071563","https://openalex.org/W4387587663","https://openalex.org/W4390872807","https://openalex.org/W4390873371","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6801219568","https://openalex.org/W6844406868"],"related_works":["https://openalex.org/W1986006778","https://openalex.org/W2390718407","https://openalex.org/W2005485125","https://openalex.org/W2085363807","https://openalex.org/W2034124193","https://openalex.org/W2379017606","https://openalex.org/W2156319555","https://openalex.org/W2941765012","https://openalex.org/W2171970890","https://openalex.org/W2349179172"],"abstract_inverted_index":{"In":[0,66,121,187],"3D":[1],"point":[2],"cloud-based":[3],"object":[4],"detection,":[5],"attention":[6,43,48,113,142],"mechanism":[7,44],"in":[8,27,111],"Group-Free":[9,223],"[1]":[10],"learns":[11],"direct":[12],"relationships":[13],"between":[14,96],"proposals":[15],"and":[16,37,100,115,173,251],"all":[17,97],"seed":[18,52,98,156,266],"points,":[19],"providing":[20],"each":[21,126,192],"proposal":[22,127],"with":[23,135],"a":[24,31,56,76,87,117,128,159,170,174,199],"global":[25,137],"context":[26,138],"the":[28,42,71,93,101,106,136,141,144,150,168,181,188,204,207,227,243,256,263],"form":[29],"of":[30,153,206,229,239,265],"cross-attention":[32,109,119,146],"map.":[33,120],"However,":[34],"our":[35,83,123,219,240],"analysis":[36],"experimental":[38],"comparison":[39],"show":[40,218],"that":[41,180,261],"assigns":[45],"inappropriately":[46],"large":[47],"weights":[49],"to":[50,62,166],"certain":[51],"points":[53,99,157],"far":[54],"from":[55],"proposal,":[57,82],"which":[58,91,210,254],"is":[59,133,248,255],"not":[60],"conducive":[61],"detecting":[63],"objects":[64],"correctly.":[65],"this":[67],"work,":[68],"we":[69,104,197],"alleviate":[70],"above":[72],"problem":[73],"by":[74,140,233],"proposing":[75],"mask":[77,107,124,183],"method.":[78],"For":[79],"an":[80],"initial":[81,193],"method":[84],"first":[85],"calculates":[86],"spatial":[88,94],"distance-based":[89],"mask,":[90,169,172,190],"measures":[92],"relationship":[95],"proposal.":[102,160],"Then,":[103],"fuse":[105],"into":[108],"layers":[110],"stacked":[112],"modules":[114],"get":[116],"refined":[118,145],"essence,":[122],"gives":[125],"local":[129],"context;":[130],"after":[131],"it":[132],"fused":[134],"given":[139],"mechanism,":[143],"map":[147],"could":[148,221],"suppress":[149],"negative":[151],"impact":[152],"some":[154],"distant":[155],"on":[158,242],"We":[161],"present":[162],"two":[163,213],"alternative":[164],"strategies":[165],"compute":[167],"hard":[171],"soft":[175,182,189],"mask.":[176],"Experimental":[177,216],"results":[178,217],"demonstrate":[179],"brings":[184],"better":[185],"performance.":[186],"for":[191],"proposal's":[194],"3D-box":[195],"shape,":[196],"use":[198],"parametric":[200],"approximate":[201],"ellipsoid":[202],"as":[203],"basis":[205],"mask's":[208],"calculation,":[209],"has":[211],"only":[212],"learnable":[214],"parameters.":[215],"work":[220],"outperform":[222],"0.7":[224],"mAP@0.25":[225,250],"at":[226],"cost":[228],"increasing":[230],"inference":[231],"time":[232],"less":[234],"than":[235],"1%.":[236],"The":[237],"performance":[238,258],"algorithm":[241],"public":[244],"dataset":[245],"SUN":[246],"RGB-D":[247],"63.7":[249],"45.5":[252],"mAP@0.5,":[253],"best":[257],"among":[259],"algorithms":[260],"preserve":[262],"irregular":[264],"points.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}