{"id":"https://openalex.org/W3158677893","doi":"https://doi.org/10.1145/3444685.3446281","title":"Patch assembly for real-time instance segmentation","display_name":"Patch assembly for real-time instance segmentation","publication_year":2021,"publication_date":"2021-03-07","ids":{"openalex":"https://openalex.org/W3158677893","doi":"https://doi.org/10.1145/3444685.3446281","mag":"3158677893"},"language":"en","primary_location":{"id":"doi:10.1145/3444685.3446281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444685.3446281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM International Conference on Multimedia in Asia","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/A5004433276","display_name":"Yutao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yutao Xu","raw_affiliation_strings":["Tongji University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058982350","display_name":"Hanli Wang","orcid":"https://orcid.org/0000-0002-9999-4871"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanli Wang","raw_affiliation_strings":["Tongji University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101670573","display_name":"Jian Zhu","orcid":"https://orcid.org/0000-0002-3835-4627"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhu","raw_affiliation_strings":["Tongji University, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004433276"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04168301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.8076370358467102},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7773076295852661},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.7126235365867615},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6276514530181885},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6090676188468933},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.550060510635376},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5410569310188293},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5343049764633179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169703364372253},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5049746632575989},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4907289743423462},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47453343868255615},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44243818521499634},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4352230131626129},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4239822328090668},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4103953242301941},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3242989480495453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2687638998031616},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.13708508014678955},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1351587176322937},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09725689888000488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076370358467102},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7773076295852661},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.7126235365867615},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6276514530181885},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6090676188468933},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.550060510635376},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5410569310188293},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5343049764633179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169703364372253},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5049746632575989},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4907289743423462},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47453343868255615},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44243818521499634},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4352230131626129},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4239822328090668},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4103953242301941},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3242989480495453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2687638998031616},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.13708508014678955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1351587176322937},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09725689888000488},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3444685.3446281","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3444685.3446281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM International Conference on Multimedia in Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G5501368935","display_name":null,"funder_award_id":"61976159","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2108598243","https://openalex.org/W2150066425","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2317851288","https://openalex.org/W2322480645","https://openalex.org/W2504335775","https://openalex.org/W2549139847","https://openalex.org/W2555182955","https://openalex.org/W2599765304","https://openalex.org/W2912662889","https://openalex.org/W2920326761","https://openalex.org/W2925359305","https://openalex.org/W2953106684","https://openalex.org/W2953236957","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963849369","https://openalex.org/W2963857746","https://openalex.org/W2982161360","https://openalex.org/W2993182889","https://openalex.org/W3034826836","https://openalex.org/W3098090606","https://openalex.org/W3106250896"],"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":{"The":[0],"paradigm":[1],"of":[2,11,27,76,90,118,122],"sliding":[3,39],"window":[4,40],"is":[5,70,112],"proven":[6],"effective":[7,108],"for":[8,59,120,142],"the":[9,25,74,77,82,95,116],"task":[10],"visual":[12],"instance":[13,33],"segmentation":[14,34,60,141],"in":[15,99,138],"many":[16],"popular":[17],"research":[18],"works.":[19],"However,":[20],"it":[21],"still":[22],"suffers":[23],"from":[24,81],"bottleneck":[26],"inference":[28],"time.":[29],"To":[30],"accelerate":[31],"existing":[32],"approaches":[35],"which":[36,51,125],"are":[37],"dense":[38],"based,":[41],"this":[42],"work":[43],"introduces":[44],"a":[45,88],"novel":[46],"approach,":[47],"called":[48,110],"patch":[49],"assembly,":[50],"can":[52,126],"be":[53,127],"integrated":[54],"into":[55],"bounding":[56],"box":[57],"detectors":[58],"without":[61],"extra":[62],"up-sampling":[63],"computations.":[64],"A":[65],"well-designed":[66],"detector":[67],"named":[68],"PAMask":[69,93],"proposed":[71,78],"to":[72,97,114],"verify":[73],"effectiveness":[75],"approach.":[79],"Benefitting":[80],"simple":[83],"structure":[84],"as":[85,87],"well":[86],"fusion":[89],"multiple":[91],"representations,":[92],"has":[94],"ability":[96],"run":[98],"real":[100],"time":[101],"while":[102],"achieving":[103],"competitive":[104],"performances.":[105],"Besides,":[106],"another":[107],"technique":[109],"Center-NMS":[111],"designed":[113],"reduce":[115],"number":[117],"boxes":[119],"intersection":[121],"union":[123],"calculation,":[124],"fully":[128],"parallelized":[129],"on":[130],"device":[131],"and":[132,140],"contributes":[133],"0.6%":[134],"mAP":[135],"improvement":[136],"both":[137],"detection":[139],"free.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
