{"id":"https://openalex.org/W3015909257","doi":"https://doi.org/10.1109/icassp40776.2020.9053731","title":"Learning Multi-Scale Attentive Features for Series Photo Selection","display_name":"Learning Multi-Scale Attentive Features for Series Photo Selection","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015909257","doi":"https://doi.org/10.1109/icassp40776.2020.9053731","mag":"3015909257"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5069858475","display_name":"Jin Huang","orcid":"https://orcid.org/0000-0003-2285-5248"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Huang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040285913","display_name":"Chaoran Cui","orcid":"https://orcid.org/0000-0003-3332-1348"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoran Cui","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101679256","display_name":"Chunyun Zhang","orcid":"https://orcid.org/0000-0002-3156-754X"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyun Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008435","display_name":"Zhen Shen","orcid":"https://orcid.org/0000-0002-3402-0910"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Shen","raw_affiliation_strings":["School of Software, Shandong University"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672590","display_name":"Yilong Yin","orcid":"https://orcid.org/0000-0002-8465-1294"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["School of Software, Shandong University"],"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069858475"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47356658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9753000140190125,"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":0.8086122274398804},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7428172826766968},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7358038425445557},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6948492527008057},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6547693014144897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.607204258441925},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5738652348518372},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4608674943447113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46004417538642883},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4366213381290436},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38535457849502563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32045048475265503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08274242281913757},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07910540699958801},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07259571552276611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086122274398804},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7428172826766968},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7358038425445557},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6948492527008057},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6547693014144897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.607204258441925},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5738652348518372},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4608674943447113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46004417538642883},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4366213381290436},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38535457849502563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32045048475265503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08274242281913757},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07910540699958801},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07259571552276611},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1799366690","https://openalex.org/W1896080482","https://openalex.org/W2078807908","https://openalex.org/W2194775991","https://openalex.org/W2463801705","https://openalex.org/W2470394683","https://openalex.org/W2529088810","https://openalex.org/W2550553598","https://openalex.org/W2560622558","https://openalex.org/W2565639579","https://openalex.org/W2741792299","https://openalex.org/W2808328921","https://openalex.org/W2884585870","https://openalex.org/W2896399498","https://openalex.org/W2904572228","https://openalex.org/W2962961439","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2993972435","https://openalex.org/W3103942587","https://openalex.org/W4241071816","https://openalex.org/W4385245566","https://openalex.org/W6638444622","https://openalex.org/W6720898849","https://openalex.org/W6739901393","https://openalex.org/W6743731764","https://openalex.org/W6748666111","https://openalex.org/W6749685175","https://openalex.org/W6753412334"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2121910908"],"abstract_inverted_index":{"People":[0],"used":[1],"to":[2,21,40,68,92],"take":[3],"a":[4,18,53,116],"series":[5,45,74,127],"of":[6,44,80,123],"nearly":[7],"identical":[8],"photos":[9],"about":[10],"the":[11,23,29,42,70,78,88,95,121],"same":[12],"subject,":[13],"but":[14],"it":[15],"is":[16],"usually":[17],"tedious":[19],"chore":[20],"select":[22],"reversed":[24],"ones":[25,111],"from":[26,62],"them.":[27],"Despite":[28],"remarkable":[30],"progress,":[31],"most":[32],"existing":[33],"studies":[34],"on":[35,115],"image":[36],"aesthetics":[37],"assessment":[38],"fail":[39],"fulfill":[41],"task":[43],"photo":[46,128],"selection.":[47,129],"In":[48],"this":[49],"paper,":[50],"we":[51,86],"develop":[52],"novel":[54],"deep":[55],"CNN":[56],"architecture":[57],"that":[58,101],"aggregates":[59],"multi-scale":[60],"features":[61,96,103],"different":[63],"network":[64],"layers,":[65],"in":[66],"order":[67],"capture":[69],"subtle":[71],"differences":[72],"between":[73],"photos.":[75],"To":[76],"reduce":[77],"risk":[79],"redundant":[81],"or":[82],"even":[83],"interfering":[84],"features,":[85],"introduce":[87],"spatial-channel":[89],"self-attention":[90],"mechanism":[91],"adaptively":[93],"recalibrate":[94],"at":[97],"each":[98],"layer,":[99],"so":[100],"informative":[102],"can":[104],"be":[105],"selectively":[106],"emphasized":[107],"and":[108],"less":[109],"useful":[110],"suppressed.":[112],"Extensive":[113],"experiments":[114],"benchmark":[117],"dataset":[118],"well":[119],"demonstrate":[120],"potential":[122],"our":[124],"approach":[125],"for":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}