{"id":"https://openalex.org/W4404317394","doi":"https://doi.org/10.1109/aiotc63215.2024.10748272","title":"QH-Bird: A Fine-Grained Bird Visual Dataset and Hierarchical Consistency Denoising Method","display_name":"QH-Bird: A Fine-Grained Bird Visual Dataset and Hierarchical Consistency Denoising Method","publication_year":2024,"publication_date":"2024-09-13","ids":{"openalex":"https://openalex.org/W4404317394","doi":"https://doi.org/10.1109/aiotc63215.2024.10748272"},"language":"en","primary_location":{"id":"doi:10.1109/aiotc63215.2024.10748272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiotc63215.2024.10748272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)","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/A5021939134","display_name":"Wenjing Song","orcid":"https://orcid.org/0000-0001-5133-9440"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Song","raw_affiliation_strings":["School of Computer Science, Qinghai Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qinghai Normal University","institution_ids":["https://openalex.org/I20616075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020749269","display_name":"Shengling Geng","orcid":"https://orcid.org/0000-0002-9897-3147"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengling Geng","raw_affiliation_strings":["School of Computer Science, Qinghai Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qinghai Normal University","institution_ids":["https://openalex.org/I20616075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079516265","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0001-5676-0656"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["School of Computer Science, Qinghai Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qinghai Normal University","institution_ids":["https://openalex.org/I20616075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20616075"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"280","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"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"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9452999830245972,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6724407076835632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6717162132263184},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4873691201210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4744192957878113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35744988918304443}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6724407076835632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6717162132263184},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4873691201210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4744192957878113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35744988918304443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiotc63215.2024.10748272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiotc63215.2024.10748272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1954152232","https://openalex.org/W1993309459","https://openalex.org/W2141983208","https://openalex.org/W2194775991","https://openalex.org/W2963697299","https://openalex.org/W2981873476","https://openalex.org/W3095722810","https://openalex.org/W3193137605","https://openalex.org/W3213192039","https://openalex.org/W4206237889","https://openalex.org/W4296894901","https://openalex.org/W4388283745"],"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/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"To":[0,103],"address":[1],"the":[2,9,78,106,113],"lack":[3],"of":[4,11,115,180],"bird":[5,21,43,119,145],"image":[6,13,22,44,60,146,162],"datasets":[7],"in":[8,133,160],"field":[10],"fine-grained":[12,20,161],"recognition,":[14],"this":[15],"paper":[16],"introduces":[17],"a":[18,25,84,140,153],"new":[19],"dataset":[23,31,45,167],"and":[24,48,54,68,99,109,131,135,143,158,176,184],"deep":[26,85,170],"learning-based":[27,86],"denoising":[28],"method.":[29],"The":[30],"encompasses":[32],"50,000":[33],"images":[34,50,76,116],"across":[35],"200":[36],"species.":[37],"Initially,":[38],"we":[39,58,82,111,138],"constructed":[40,139],"an":[41],"initial":[42],"by":[46],"sourcing":[47],"compiling":[49],"from":[51,77],"specialized":[52],"books":[53],"online":[55],"resources.":[56],"Subsequently,":[57],"employed":[59],"deduplication":[61],"methods":[62],"based":[63],"on":[64],"difference":[65],"hashing":[66],"(dHash)":[67],"structural":[69],"similarity":[70],"index":[71],"(SSIM)":[72],"to":[73,91],"clean":[74],"duplicate":[75],"dataset.":[79],"Following":[80],"this,":[81],"applied":[83],"hierarchical":[87],"consistency":[88,101],"learning":[89,171],"method":[90],"identify":[92],"noisy":[93],"web":[94],"images,":[95],"using":[96,121,168],"classification":[97],"loss":[98],"semantic":[100],"prediction.":[102],"further":[104],"enhance":[105],"dataset's":[107],"diversity":[108],"balance,":[110],"expanded":[112],"number":[114],"for":[117,156],"each":[118],"species":[120],"data":[122],"augmentation":[123],"techniques":[124],"such":[125],"as":[126,152],"rotation,":[127],"mirroring,":[128],"random":[129],"cropping,":[130],"adjustments":[132],"brightness":[134],"contrast.":[136],"Ultimately,":[137],"high-quality,":[141],"balanced,":[142],"diverse":[144],"dataset,":[147],"named":[148],"QH-Bird,":[149],"which":[150],"serves":[151],"valuable":[154],"resource":[155],"research":[157],"applications":[159],"recognition.":[163],"We":[164],"evaluated":[165],"our":[166],"four":[169],"models:":[172],"VGG-16,":[173],"ResNet-50,":[174],"EfficientNet,":[175],"HCLNet,":[177],"achieving":[178],"accuracies":[179],"87.17%,":[181],"88.59%,":[182],"90.28%,":[183],"91.59%,":[185],"respectively.":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
