{"id":"https://openalex.org/W4405469751","doi":"https://doi.org/10.1109/iccv51701.2025.00249","title":"From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision","display_name":"From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4405469751","doi":"https://doi.org/10.1109/iccv51701.2025.00249"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.11154","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075979415","display_name":"Chuang Yu","orcid":"https://orcid.org/0000-0003-2604-4282"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151155","display_name":"Academy of Opto-Electronics","ror":"https://ror.org/04acsr153","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210151155"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuang Yu","raw_affiliation_strings":["Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210151155","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071607803","display_name":"Jinmiao Zhao","orcid":"https://orcid.org/0009-0005-4700-7183"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151155","display_name":"Academy of Opto-Electronics","ror":"https://ror.org/04acsr153","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210151155"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmiao Zhao","raw_affiliation_strings":["Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210151155","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331851","display_name":"Yunpeng Liu","orcid":"https://orcid.org/0000-0002-7942-2112"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunpeng Liu","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051149140","display_name":"Sicheng Zhao","orcid":"https://orcid.org/0000-0001-5843-6411"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicheng Zhao","raw_affiliation_strings":["Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yimian Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimian Dai","raw_affiliation_strings":["Nankai University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiangyu Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Yue","raw_affiliation_strings":["MMLab, The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MMLab, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075979415"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210151155"],"apc_list":null,"apc_paid":null,"fwci":4.5143,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92002951,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2588","last_page":"2598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9940999746322632,"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"}},{"id":"https://openalex.org/T11637","display_name":"Advanced Semiconductor Detectors and Materials","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5730618238449097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574632287025452},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.49469611048698425},{"id":"https://openalex.org/keywords/single-point","display_name":"Single point","score":0.4595583379268646},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.45523762702941895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2723338305950165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24051615595817566},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.157739520072937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10362061858177185},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10040980577468872}],"concepts":[{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5730618238449097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574632287025452},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.49469611048698425},{"id":"https://openalex.org/C2992444157","wikidata":"https://www.wikidata.org/wiki/Q775079","display_name":"Single point","level":3,"score":0.4595583379268646},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.45523762702941895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2723338305950165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24051615595817566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.157739520072937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10362061858177185},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10040980577468872},{"id":"https://openalex.org/C2778800418","wikidata":"https://www.wikidata.org/wiki/Q631910","display_name":"TRIZ","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2412.11154","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11154","pdf_url":"https://arxiv.org/pdf/2412.11154","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.11154","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.11154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.11154","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11154","pdf_url":"https://arxiv.org/pdf/2412.11154","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3917743038","display_name":null,"funder_award_id":"8115074","funder_id":"https://openalex.org/F4320335138","funder_display_name":"Shun Hing Institute of Advanced Engineering"},{"id":"https://openalex.org/G8285413768","display_name":null,"funder_award_id":"62306261","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/F4320335138","display_name":"Shun Hing Institute of Advanced Engineering","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2018748668"],"abstract_inverted_index":{"Recently,":[0],"single-frame":[1],"infrared":[2],"small":[3],"target":[4,164],"(SIRST)":[5],"detection":[6,65,172],"with":[7,20,175],"single":[8,21,203],"point":[9,22,204],"supervision":[10,23,201,205],"has":[11],"drawn":[12],"wide-spread":[13],"attention.":[14],"However,":[15],"the":[16,62,78,84,108,139,159],"latest":[17],"label":[18,30,143],"evolution":[19],"(LESPS)":[24],"framework":[25,178,191],"suffers":[26],"from":[27],"instability,":[28],"excessive":[29,142],"evolution,":[31,144],"and":[32,47,68,71,106,130,161,196,202],"difficulty":[33],"in":[34],"exerting":[35],"embedded":[36],"network":[37],"performance.":[38],"Inspired":[39],"by":[40],"organisms":[41],"gradually":[42],"adapting":[43],"to":[44,76,83,137,153],"their":[45],"environment":[46],"continuously":[48],"accumulating":[49],"knowledge,":[50],"we":[51,90,116],"construct":[52],"an":[53,194],"innovative":[54],"Progressive":[55],"Active":[56],"Learning":[57],"(PAL)":[58],"framework,":[59],"which":[60,96,122,151],"drives":[61],"existing":[63,170],"SIRST":[64,171],"networks":[66,173],"progressively":[67],"actively":[69],"recognizes":[70],"learns":[72],"harder":[73,128],"samples.":[74],"Specifically,":[75],"avoid":[77],"early":[79],"low-performance":[80],"model":[81,93,109],"leading":[82],"wrong":[85],"selection":[86],"of":[87,103,127,133,141,163],"hard":[88],"samples,":[89],"propose":[91,117],"a":[92,101,118,145,155],"pre-start":[94],"concept,":[95],"focuses":[97],"on":[98,184],"automatically":[99],"selecting":[100],"portion":[102],"easy":[104],"samples":[105,129],"helping":[107],"have":[110,179],"basic":[111],"task-specific":[112],"learning":[113,126],"capabilities.":[114],"Meanwhile,":[115],"refined":[119],"dual-update":[120],"strategy,":[121],"can":[123,192],"promote":[124],"reasonable":[125],"continuous":[131],"refinement":[132],"pseudo-labels.":[134],"In":[135],"addition,":[136],"alleviate":[138],"risk":[140],"decay":[146],"factor":[147],"is":[148,209],"reasonably":[149],"introduced,":[150],"helps":[152],"achieve":[154],"dynamic":[156],"balance":[157],"between":[158,199],"expansion":[160],"contraction":[162],"annotations.":[165],"Extensive":[166],"experiments":[167],"show":[168],"that":[169],"equipped":[174],"our":[176,189],"PAL":[177,190],"achieved":[180],"state-of-the-art":[181],"(SOTA)":[182],"results":[183],"multiple":[185],"public":[186],"datasets.":[187],"Furthermore,":[188],"build":[193],"efficient":[195],"stable":[197],"bridge":[198],"full":[200],"tasks.":[206],"Our":[207],"code":[208],"available":[210],"at":[211],"https://github.com/YuChuang1205/PAL":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-10-10T00:00:00"}