{"id":"https://openalex.org/W4392255627","doi":"https://doi.org/10.1145/3633637.3633697","title":"Exploring Non-Significant Areas for Weakly Supervised Semantic Segmentation","display_name":"Exploring Non-Significant Areas for Weakly Supervised Semantic Segmentation","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4392255627","doi":"https://doi.org/10.1145/3633637.3633697"},"language":"en","primary_location":{"id":"doi:10.1145/3633637.3633697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","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/A5042762691","display_name":"Zhoufeng Liu","orcid":"https://orcid.org/0000-0002-8926-5165"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhoufeng Liu","raw_affiliation_strings":["Zhongyuan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094025391","display_name":"Ningyu Chai","orcid":"https://orcid.org/0009-0008-7492-5002"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningyu Chai","raw_affiliation_strings":["Zhongyuan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004709409","display_name":"K.G. Auw Yang","orcid":"https://orcid.org/0009-0002-7979-8192"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Yang","raw_affiliation_strings":["Zhongyuan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002642532","display_name":"Zhenghui Hu","orcid":"https://orcid.org/0000-0002-6106-0416"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghui Hu","raw_affiliation_strings":["Hangzhou Innovation Institute, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Innovation Institute, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087016614","display_name":"Ruimin Yang","orcid":"https://orcid.org/0009-0002-5836-5603"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Yang","raw_affiliation_strings":["Zhongyuan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Zhongyuan University of Technology, China","institution_ids":["https://openalex.org/I132586189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042762691"],"corresponding_institution_ids":["https://openalex.org/I132586189"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20665933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9980999827384949,"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":0.7487548589706421},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7365593910217285},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7261581420898438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6439306139945984},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6380127668380737},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4898936152458191},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48962193727493286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42734095454216003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37292730808258057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487548589706421},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7365593910217285},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7261581420898438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439306139945984},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6380127668380737},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4898936152458191},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48962193727493286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42734095454216003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37292730808258057},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3633637.3633697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W611457968","https://openalex.org/W1945608308","https://openalex.org/W2107376108","https://openalex.org/W2144794286","https://openalex.org/W2295107390","https://openalex.org/W2306289963","https://openalex.org/W2337429362","https://openalex.org/W2558580397","https://openalex.org/W2795148578","https://openalex.org/W2798232928","https://openalex.org/W2799124825","https://openalex.org/W2919398643","https://openalex.org/W2940992423","https://openalex.org/W2956648669","https://openalex.org/W2962758679","https://openalex.org/W2964274719","https://openalex.org/W2980189057","https://openalex.org/W2982093251","https://openalex.org/W2999480731","https://openalex.org/W3015272069","https://openalex.org/W3034373787","https://openalex.org/W3034930876","https://openalex.org/W3102659010","https://openalex.org/W3112016055","https://openalex.org/W3135717814","https://openalex.org/W3137328917","https://openalex.org/W3138196208","https://openalex.org/W3147542689","https://openalex.org/W3163196445","https://openalex.org/W3166286626","https://openalex.org/W3169761117","https://openalex.org/W3173957243","https://openalex.org/W3175722450","https://openalex.org/W3176760243","https://openalex.org/W3177958285","https://openalex.org/W3203879378","https://openalex.org/W4226118610","https://openalex.org/W4300265324","https://openalex.org/W4313052647","https://openalex.org/W4313139852","https://openalex.org/W4315783894","https://openalex.org/W4323066536","https://openalex.org/W4324122459","https://openalex.org/W4386066092","https://openalex.org/W6681666973"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2329500892","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,40],"is":[2],"the":[3,13,28,49,53,62,96,112,117,122,142,160],"process":[4],"of":[5,16,31,52,126,145],"categorizing":[6],"all":[7],"pixels":[8],"in":[9,48],"an":[10,75],"image.":[11],"Given":[12],"inherent":[14],"challenges":[15],"attaining":[17],"fine":[18],"labels,":[19],"researchers":[20],"have":[21,66],"recently":[22],"embraced":[23],"weak":[24],"labels":[25],"to":[26,99,134,153,172],"mitigate":[27],"annotation":[29],"burden":[30],"segmentation.":[32],"The":[33],"current":[34],"work":[35],"on":[36,44,159],"weakly":[37],"supervised":[38],"semantic":[39],"(WSSS)":[41],"mainly":[42],"focuses":[43],"expanding":[45],"pseudo-label":[46],"seeds":[47],"salient":[50,63],"regions":[51],"image,":[54],"but":[55],"there":[56],"are":[57,92],"also":[58],"many":[59],"objects":[60],"outside":[61],"area":[64],"that":[65,91,116,166],"not":[67],"been":[68],"discovered.":[69],"In":[70],"this":[71],"work,":[72],"we":[73,85,103,148,167],"propose":[74],"innovative":[76],"WSSS":[77],"method":[78],"by":[79],"exploring":[80],"non-significant":[81,143],"areas":[82,144],"(ENSA).":[83],"Specifically,":[84],"first":[86],"utilize":[87],"multiple":[88,127],"local":[89,128],"views":[90],"randomly":[93],"clipped":[94],"from":[95],"input":[97],"image":[98],"extract":[100],"attention.":[101],"Then,":[102],"design":[104],"a":[105,150],"local-global":[106],"knowledge":[107,125],"transfer":[108],"module":[109,152],"(LGKT)":[110],"for":[111],"global":[113,118],"network":[114,119],"so":[115],"can":[120],"obtain":[121],"complementary":[123],"attention":[124,129,137],"maps":[130],"through":[131],"online":[132],"learning":[133],"produce":[135],"high-quality":[136],"maps.":[138],"To":[139],"further":[140],"explore":[141],"complex":[146],"images,":[147],"adopt":[149],"NSRM":[151],"generate":[154],"masked":[155],"labels.":[156],"Comprehensive":[157],"experiments":[158],"PASCAL":[161],"VOC":[162],"2012":[163],"dataset":[164],"illustrate":[165],"achieve":[168],"state-of-the-art":[169],"performance":[170],"compared":[171],"existing":[173],"work.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}