{"id":"https://openalex.org/W4364322332","doi":"https://doi.org/10.1109/tip.2023.3234499","title":"IDNet: Information Decomposition Network for Fast Panoptic Segmentation","display_name":"IDNet: Information Decomposition Network for Fast Panoptic Segmentation","publication_year":2023,"publication_date":"2023-04-10","ids":{"openalex":"https://openalex.org/W4364322332","doi":"https://doi.org/10.1109/tip.2023.3234499","pmid":"https://pubmed.ncbi.nlm.nih.gov/37037237"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3234499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3234499","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5054118044","display_name":"Guangchen Lin","orcid":"https://orcid.org/0000-0003-2847-3347"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangchen Lin","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2847-3347","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818877","display_name":"Songyuan Li","orcid":"https://orcid.org/0000-0003-4052-1006"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyuan Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400360","display_name":"Yifeng Chen","orcid":"https://orcid.org/0000-0003-1358-3367"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407758","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-3023-1662"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Shanghai Institute for Advanced Study, Zhejiang University, Shanghai, China","Zhejiang-Singapore Innovation and AI Joint Research Laboratory, Shanghai AI Laboratory, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3023-1662","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Shanghai Institute for Advanced Study, Zhejiang University, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]},{"raw_affiliation_string":"Zhejiang-Singapore Innovation and AI Joint Research Laboratory, Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9704,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.7310179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"33","issue":null,"first_page":"1487","last_page":"1496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/segmentation","display_name":"Segmentation","score":0.8481533527374268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8168235421180725},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6638630628585815},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.578154444694519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5452313423156738},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49892306327819824},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4947945475578308},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4718472957611084},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4699844419956207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4590339660644531},{"id":"https://openalex.org/keywords/panopticon","display_name":"Panopticon","score":0.43655166029930115},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42857879400253296},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4222242832183838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36305302381515503}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8481533527374268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8168235421180725},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6638630628585815},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.578154444694519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5452313423156738},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49892306327819824},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4947945475578308},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4718472957611084},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4699844419956207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4590339660644531},{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.43655166029930115},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42857879400253296},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4222242832183838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36305302381515503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3234499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3234499","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37037237","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37037237","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1820810521","display_name":null,"funder_award_id":"62225605","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G4443495530","display_name":null,"funder_award_id":"188170-11102","funder_id":"https://openalex.org/F4320330032","funder_display_name":"Ng Teng Fong Charitable Foundation"},{"id":"https://openalex.org/G8036107462","display_name":null,"funder_award_id":"2020AAA0107400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8778414158","display_name":null,"funder_award_id":"U20A20222","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/F4320330032","display_name":"Ng Teng Fong Charitable Foundation","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W260801291","https://openalex.org/W1861492603","https://openalex.org/W2558156561","https://openalex.org/W2737258237","https://openalex.org/W2777795072","https://openalex.org/W2891601902","https://openalex.org/W2895065325","https://openalex.org/W2902499724","https://openalex.org/W2910628332","https://openalex.org/W2911831070","https://openalex.org/W2942082708","https://openalex.org/W2962766617","https://openalex.org/W2963236837","https://openalex.org/W2963350373","https://openalex.org/W2963351448","https://openalex.org/W2963393688","https://openalex.org/W2963455537","https://openalex.org/W2963677766","https://openalex.org/W2963775509","https://openalex.org/W2964211168","https://openalex.org/W2965182628","https://openalex.org/W2981537222","https://openalex.org/W2982770724","https://openalex.org/W2991405684","https://openalex.org/W2993182889","https://openalex.org/W2997473137","https://openalex.org/W2999219213","https://openalex.org/W3004359336","https://openalex.org/W3034244618","https://openalex.org/W3034355852","https://openalex.org/W3034749803","https://openalex.org/W3034975706","https://openalex.org/W3035141873","https://openalex.org/W3035295311","https://openalex.org/W3046879531","https://openalex.org/W3082125592","https://openalex.org/W3088976275","https://openalex.org/W3097065222","https://openalex.org/W3106546328","https://openalex.org/W3133929890","https://openalex.org/W3168649818","https://openalex.org/W3170410843","https://openalex.org/W3172606323","https://openalex.org/W3177024905","https://openalex.org/W3213165621","https://openalex.org/W4288325606","https://openalex.org/W4297426812","https://openalex.org/W4300479382","https://openalex.org/W6730410022","https://openalex.org/W6756512664","https://openalex.org/W6758168261","https://openalex.org/W6781899126","https://openalex.org/W6784477272","https://openalex.org/W6784930956","https://openalex.org/W6798837711"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127","https://openalex.org/W2386644571"],"abstract_inverted_index":{"Traditional":[0],"CNN-based":[1,170],"pipelines":[2],"for":[3,99,121],"panoptic":[4,51,66,82,100],"segmentation":[5,14,52,67,83,101],"decompose":[6,50],"the":[7,34,70,97,126,143],"task":[8],"into":[9,84],"two":[10,28,59,116],"subtasks,":[11],"i.e.,":[12],"instance":[13],"and":[15,31,40,63,76,87,90,105,111,140,160],"semantic":[16],"segmentation.":[17],"In":[18],"this":[19],"way,":[20],"they":[21],"extract":[22,73],"information":[23,54,62,75,86,89],"with":[24,93,107],"multiple":[25],"branches,":[26],"perform":[27],"subtasks":[29],"separately":[30],"finally":[32],"fuse":[33,78],"results.":[35],"However,":[36],"excessive":[37],"feature":[38],"extraction":[39],"complicated":[41],"processes":[42],"make":[43],"them":[44,92],"time-consuming.":[45],"We":[46,113],"propose":[47],"IDNet":[48,56,133],"to":[49,72,77,109],"at":[53,150,177],"level.":[55],"only":[57],"extracts":[58],"kinds":[60],"of":[61,147,153,163],"directly":[64],"completes":[65],"task,":[68],"saving":[69],"efforts":[71],"extra":[74],"subtasks.":[79],"By":[80],"decomposing":[81],"category":[85],"location":[88],"recomposing":[91],"a":[94,131,135,151,156,161],"serial":[95,123],"pipeline,":[96,124],"process":[98],"is":[102,166],"simplified":[103],"greatly":[104],"unified":[106],"regard":[108],"stuff":[110],"things.":[112],"also":[114],"adopt":[115],"correction":[117],"losses":[118],"specially":[119],"designed":[120],"our":[122],"guaranteeing":[125],"overall":[127],"predicting":[128],"performance.":[129],"As":[130],"result,":[132],"strikes":[134],"better":[136],"balance":[137],"between":[138],"effectiveness":[139],"efficiency,":[141],"achieving":[142],"fastest":[144],"inference":[145],"speed":[146],"24.2":[148],"FPS":[149],"resolution":[152],"800\u00d71333":[154],"on":[155],"Tesla":[157],"V100":[158],"GPU":[159],"PQ":[162],"43.8,":[164],"which":[165],"comparable":[167],"in":[168],"one-stage":[169],"methods.":[171],"The":[172],"code":[173],"will":[174],"be":[175],"released":[176],"https://github.com/AronLin/IDNet.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}