{"id":"https://openalex.org/W4379928223","doi":"https://doi.org/10.1109/tcsvt.2023.3284161","title":"Save the Tiny, Save the All: Hierarchical Activation Network for Tiny Object Detection","display_name":"Save the Tiny, Save the All: Hierarchical Activation Network for Tiny Object Detection","publication_year":2023,"publication_date":"2023-06-08","ids":{"openalex":"https://openalex.org/W4379928223","doi":"https://doi.org/10.1109/tcsvt.2023.3284161"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3284161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3284161","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5002446197","display_name":"Guangqian Guo","orcid":"https://orcid.org/0000-0002-8940-1382"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqian Guo","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8940-1382","affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335065","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0003-4883-201X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4883-201X","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102935615","display_name":"Xuehui Yu","orcid":"https://orcid.org/0000-0002-2997-1068"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehui Yu","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2997-1068","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000034551","display_name":"Zhenjun Han","orcid":"https://orcid.org/0000-0002-9970-5152"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjun Han","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9970-5152","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015317495","display_name":"Qixiang Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixiang Ye","raw_affiliation_strings":["School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1215-6259","affiliations":[{"raw_affiliation_string":"School of Electronic, Electrical, and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666836","display_name":"Shan Gao","orcid":"https://orcid.org/0000-0002-3427-5825"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Gao","raw_affiliation_strings":["Unmanned System Research Institute, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3427-5825","affiliations":[{"raw_affiliation_string":"Unmanned System Research Institute, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2473,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.98347881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"1","first_page":"221","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9980000257492065,"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":0.6686145067214966},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5104109644889832},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48921775817871094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3712218999862671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3684598505496979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.258472204208374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686145067214966},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5104109644889832},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48921775817871094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3712218999862671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3684598505496979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.258472204208374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3284161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3284161","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2579985080","https://openalex.org/W2594507094","https://openalex.org/W2625219738","https://openalex.org/W2768489488","https://openalex.org/W2798799804","https://openalex.org/W2896155169","https://openalex.org/W2924450865","https://openalex.org/W2924873663","https://openalex.org/W2934198733","https://openalex.org/W2936404177","https://openalex.org/W2962721361","https://openalex.org/W2963037989","https://openalex.org/W2963323244","https://openalex.org/W2963351448","https://openalex.org/W2963927307","https://openalex.org/W2964241181","https://openalex.org/W2982769033","https://openalex.org/W2982770724","https://openalex.org/W2984009799","https://openalex.org/W2985384565","https://openalex.org/W2986357608","https://openalex.org/W2988452521","https://openalex.org/W2989604896","https://openalex.org/W3009396058","https://openalex.org/W3012573144","https://openalex.org/W3034307881","https://openalex.org/W3100179319","https://openalex.org/W3121020412","https://openalex.org/W3138006590","https://openalex.org/W3157386596","https://openalex.org/W3160195350","https://openalex.org/W3160733999","https://openalex.org/W3175630421","https://openalex.org/W3193501245","https://openalex.org/W3208154594","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6732243160","https://openalex.org/W6750227808","https://openalex.org/W6750759024","https://openalex.org/W6751325469","https://openalex.org/W6760424586","https://openalex.org/W6761481031","https://openalex.org/W6767109091","https://openalex.org/W6784094891","https://openalex.org/W6792148081","https://openalex.org/W6802878479"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Tiny":[0],"object":[1,74,117,202,219],"detection":[2,27,86,220],"(TOD)":[3],"remains":[4],"a":[5,105,128,141,183,192,261],"challenging":[6],"problem":[7],"due":[8],"to":[9,40,79,110,133,158,176,198,205],"the":[10,26,44,50,68,71,80,92,135,160,166,178,200,266],"extremely":[11],"small":[12,29],"size":[13],"and":[14,73,85,88,225,246,257],"weak":[15],"feature":[16,83,113,138,145,161,167],"presentations":[17],"of":[18,28,94,143],"tiny":[19,51,98,201,218],"objects.":[20,99],"Many":[21],"effective":[22],"methods":[23],"have":[24],"improved":[25],"objects":[30,52],"below":[31,53],"<inline-formula":[32,54,231,239,248],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[33,55,232,240,249],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[34,56,233,241,250],"<tex-math":[35,57,234,242,251],"notation=\"LaTeX\">$32\\times":[36],"32$":[37],"</tex-math></inline-formula>":[38,60,236,244,253],"pixels":[39],"some":[41],"extent,":[42],"but":[43],"performance":[45,263],"is":[46,156,196],"still":[47],"poor":[48],"for":[49,97],"notation=\"LaTeX\">$16\\times":[58],"16$":[59],"pixels.":[61],"In":[62,172],"this":[63,124],"paper,":[64],"we":[65,103,126,174],"find":[66],"that":[67],"aliasing":[69],"between":[70,82],"features":[72,118],"scales,":[75],"namely":[76],"feature-scale-aliasing,":[77],"leads":[78],"misalignment":[81],"subspaces":[84,114,146,162,168],"subspaces,":[87],"thus":[89],"results":[90],"in":[91],"interference":[93],"features,":[95],"especially":[96],"To":[100,123],"alleviate":[101],"this,":[102],"propose":[104,175],"Hierarchical":[106,207],"Activation":[107,131,208],"(HA)":[108],"method":[109],"obtain":[111],"scale-specific":[112,144,179],"by":[115,147,163,182],"activating":[116],"at":[119],"different":[120,170],"scales":[121],"hierarchically.":[122],"end,":[125],"design":[127],"Scale-Guided":[129],"Feature":[130,153],"(SGFA)":[132],"decompose":[134],"original":[136],"object-aliasing":[137],"spaces":[139],"into":[140],"group":[142],"scale-guided":[148],"activation":[149],"maps.":[150],"Then,":[151],"Scale-Specific":[152],"re-Coupling":[154],"(SSFC)":[155],"used":[157],"enhance":[159],"adaptively":[164],"aggregating":[165],"from":[169],"groups.":[171],"addition,":[173],"complement":[177],"detailed":[180],"information":[181],"designed":[184],"Detailed":[185],"Information":[186],"Compensation":[187],"(DIC)":[188],"method.":[189],"Implementing":[190],"HA,":[191],"multi-scale":[193],"keypoint-based":[194],"detector":[195],"constructed":[197],"improve":[199],"detection,":[203],"referred":[204],"as":[206],"Network":[209],"(HANet).":[210],"Extensive":[211],"experiments":[212],"are":[213],"carried":[214],"out":[215],"on":[216,254],"three":[217],"datasets,":[221],"e.g.,":[222],"TinyPerson,":[223,255],"AI-TOD,":[224,256],"TinyCOCO.":[226],"Our":[227],"HANet":[228],"achieves":[229],"58.45%":[230],"notation=\"LaTeX\">$AP_{50}^{all}$":[235],",":[237,245],"22.1%":[238],"notation=\"LaTeX\">$AP$":[243,252],"15.76%":[247],"TinyCOCO,":[258],"respectively,":[259],"showing":[260],"significant":[262],"gain":[264],"over":[265],"competitors.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":47},{"year":2024,"cited_by_count":15}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}