{"id":"https://openalex.org/W2917425247","doi":"https://doi.org/10.1109/icassp.2019.8682522","title":"Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task","display_name":"Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2917425247","doi":"https://doi.org/10.1109/icassp.2019.8682522","mag":"2917425247"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074611723","display_name":"Nevrez \u0130mamo\u011flu","orcid":"https://orcid.org/0000-0002-2661-599X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"N. Imamoglu","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056815630","display_name":"Guanqun Ding","orcid":"https://orcid.org/0000-0002-0199-4612"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"G. Ding","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Fang","raw_affiliation_strings":["School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, CHINA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, CHINA","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045505869","display_name":"Asako Kanezaki","orcid":"https://orcid.org/0000-0003-3217-1405"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Kanezaki","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076704471","display_name":"Toru Kouyama","orcid":"https://orcid.org/0000-0002-1060-3986"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Kouyama","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005355820","display_name":"Ryosuke Nakamura","orcid":"https://orcid.org/0000-0002-3801-661X"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"R. Nakamura","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Artificial Intelligence Research Center, Tokyo, JAPAN","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2192","last_page":"2196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.855618953704834},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8070558309555054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163099050521851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6363621354103088},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.6343948841094971},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6330591440200806},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5938372611999512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.587354302406311},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.502305269241333},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4748910963535309},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.45063796639442444},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41033533215522766}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.855618953704834},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8070558309555054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163099050521851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6363621354103088},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.6343948841094971},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6330591440200806},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5938372611999512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.587354302406311},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.502305269241333},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4748910963535309},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.45063796639442444},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41033533215522766}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2019.8682522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50527050","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100823516","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1513064999","https://openalex.org/W1529476013","https://openalex.org/W1533861849","https://openalex.org/W2002781701","https://openalex.org/W2012946078","https://openalex.org/W2039313011","https://openalex.org/W2063608179","https://openalex.org/W2082464775","https://openalex.org/W2092116045","https://openalex.org/W2113699814","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2157554677","https://openalex.org/W2164084182","https://openalex.org/W2192271525","https://openalex.org/W2202819085","https://openalex.org/W2423598418","https://openalex.org/W2520430674","https://openalex.org/W2546881260","https://openalex.org/W2777218179","https://openalex.org/W2801780873","https://openalex.org/W2809907875","https://openalex.org/W2963794204","https://openalex.org/W4235838711","https://openalex.org/W4301967114","https://openalex.org/W6631943919","https://openalex.org/W6631952016","https://openalex.org/W6703437051","https://openalex.org/W6751245404"],"related_works":["https://openalex.org/W2952301388","https://openalex.org/W3109732962","https://openalex.org/W2024583957","https://openalex.org/W2620958690","https://openalex.org/W2062691319","https://openalex.org/W2016355436","https://openalex.org/W1967790560","https://openalex.org/W3105291825","https://openalex.org/W2960455959","https://openalex.org/W2556549638","https://openalex.org/W1522318187","https://openalex.org/W2037954058","https://openalex.org/W3004512703","https://openalex.org/W2296040439","https://openalex.org/W2889992972","https://openalex.org/W1562408277","https://openalex.org/W2756983286","https://openalex.org/W2609028322","https://openalex.org/W2277305587","https://openalex.org/W3037792348"],"abstract_inverted_index":{"Various":[0],"saliency":[1,107,118,124,141,151,158],"detection":[2,17,63,75,142],"algorithms":[3],"from":[4,43,48,94],"color":[5],"images":[6,58,79,146],"have":[7],"been":[8],"proposed":[9,71,140],"to":[10,34,110],"mimic":[11],"eye":[12],"fixation":[13],"or":[14,106],"attentive":[15],"object":[16,62,74],"response":[18],"of":[19,39,100],"human":[20],"observers":[21],"for":[22],"the":[23,40,44,123,130,154],"same":[24],"scenes.":[25],"However,":[26],"developments":[27],"on":[28,56,77,85,144],"hyperspectral":[29,78,145,150],"imaging":[30],"systems":[31],"enable":[32],"us":[33],"obtain":[35],"redundant":[36],"spectral":[37],"information":[38],"observed":[41],"scenes":[42],"reflected":[45],"light":[46],"source":[47],"objects.":[49],"A":[50],"few":[51],"studies":[52],"using":[53],"low-level":[54],"features":[55,91],"hyper-spectral":[57],"demonstrated":[59,138],"that":[60,139],"salient":[61,73],"can":[64],"be":[65],"achieved.":[66],"In":[67],"this":[68],"work,":[69],"we":[70],"a":[72,111],"model":[76],"by":[80],"applying":[81],"manifold":[82],"ranking":[83],"(MR)":[84],"self-supervised":[86],"Convolutional":[87],"Neural":[88],"Network":[89],"(CNN)":[90],"(high-level":[92],"features)":[93],"unsupervised":[95],"image":[96],"segmentation":[97],"task.":[98],"Self-supervision":[99],"CNN":[101],"continues":[102],"until":[103],"clustering":[104],"loss":[105],"maps":[108],"converges":[109],"defined":[112],"error":[113],"between":[114],"each":[115],"iteration.":[116],"Finally,":[117],"estimations":[119],"is":[120,147],"done":[121],"as":[122],"map":[125],"at":[126],"last":[127],"iteration":[128],"when":[129],"self-supervision":[131],"procedure":[132],"terminates":[133],"with":[134],"convergence.":[135],"Experimental":[136],"evaluations":[137],"algorithm":[143],"outperforming":[148],"state-of-the-arts":[149],"models":[152],"including":[153],"original":[155],"MR":[156],"based":[157],"model.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
