{"id":"https://openalex.org/W3016149090","doi":"https://doi.org/10.1109/icassp40776.2020.9052960","title":"Fine-Grained Giant Panda Identification","display_name":"Fine-Grained Giant Panda Identification","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016149090","doi":"https://doi.org/10.1109/icassp40776.2020.9052960","mag":"3016149090"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9052960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052960","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":"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/A5045296519","display_name":"Rizhi Ding","orcid":"https://orcid.org/0009-0007-0535-4691"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rizhi Ding","raw_affiliation_strings":["Xi\u2019an Jiaotong University","Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350814","display_name":"Le Wang","orcid":"https://orcid.org/0000-0003-0327-7315"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wang","raw_affiliation_strings":["Xi\u2019an Jiaotong University","Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756983","display_name":"Qilin Zhang","orcid":"https://orcid.org/0000-0002-7917-9749"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qilin Zhang","raw_affiliation_strings":["HERE Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HERE Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113948735","display_name":"Zhenxing Niu","orcid":"https://orcid.org/0000-0003-1660-5138"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenxing Niu","raw_affiliation_strings":["Alibaba Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Xi\u2019an Jiaotong University","Xi'an Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066529753","display_name":"Gang Hud","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang Hud","raw_affiliation_strings":["Wormpex AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wormpex AI Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2038,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86072709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2108","last_page":"2112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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/T12388","display_name":"Identification and Quantification in Food","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9787999987602234,"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/ailuropoda-melanoleuca","display_name":"Ailuropoda melanoleuca","score":0.950559139251709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7695833444595337},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.747530460357666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7205151915550232},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6955165863037109},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6486009359359741},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5969683527946472},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5925984382629395},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49469372630119324},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45543134212493896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32366836071014404},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09980633854866028}],"concepts":[{"id":"https://openalex.org/C2908694543","wikidata":"https://www.wikidata.org/wiki/Q33602","display_name":"Ailuropoda melanoleuca","level":2,"score":0.950559139251709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695833444595337},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.747530460357666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7205151915550232},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6955165863037109},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6486009359359741},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5969683527946472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5925984382629395},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49469372630119324},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45543134212493896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32366836071014404},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09980633854866028},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9052960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052960","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":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1616462885","https://openalex.org/W1846799578","https://openalex.org/W2104657103","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2138011018","https://openalex.org/W2194775991","https://openalex.org/W2202499615","https://openalex.org/W2554320282","https://openalex.org/W2594520398","https://openalex.org/W2737725206","https://openalex.org/W2740620254","https://openalex.org/W2763070548","https://openalex.org/W2773003563","https://openalex.org/W2780838211","https://openalex.org/W2798365843","https://openalex.org/W2807931652","https://openalex.org/W2883502031","https://openalex.org/W2883888092","https://openalex.org/W2895643041","https://openalex.org/W2961018736","https://openalex.org/W2962858109","https://openalex.org/W2963066927","https://openalex.org/W2963407932","https://openalex.org/W6618372016","https://openalex.org/W6636475194","https://openalex.org/W6638677478","https://openalex.org/W6687751829","https://openalex.org/W6747504544","https://openalex.org/W6753069017","https://openalex.org/W6753385296"],"related_works":["https://openalex.org/W3155625410","https://openalex.org/W4236888428","https://openalex.org/W2176913539","https://openalex.org/W2065319480","https://openalex.org/W4236853456","https://openalex.org/W4206191741","https://openalex.org/W2088149844","https://openalex.org/W2107810653","https://openalex.org/W3081514532","https://openalex.org/W2810679507"],"abstract_inverted_index":{"The":[0],"image-based":[1],"fine-grained":[2,110],"identification":[3,95],"of":[4,116],"individual":[5,27],"giant":[6,28,93],"pandas":[7,29],"(Ailuropoda":[8],"melanoleuca)":[9],"is":[10,16,75],"an":[11,71],"emerging":[12],"technology,":[13],"and":[14,30,57,67,108],"it":[15],"extraordinarily":[17],"challenging":[18],"due":[19],"to":[20,80,98],"the":[21,41,53,78,82,104,114,117,121],"extremely":[22],"subtle":[23],"visual":[24],"differences":[25],"between":[26],"limited":[31],"annotated":[32],"training":[33],"data.":[34],"To":[35],"address":[36],"these":[37],"challenges,":[38],"we":[39,89],"propose":[40,90],"Feature-Fusion":[42],"Convolutional":[43],"Neural":[44],"Network":[45],"with":[46],"Patch":[47],"Detector":[48],"(FFCNN-PD)":[49],"algorithm,":[50],"which":[51],"exploits":[52],"discriminative":[54],"local":[55,68],"patches":[56],"builds":[58],"a":[59,91,100],"hierarchical":[60],"representation":[61],"generated":[62],"by":[63],"fusing":[64],"both":[65],"global":[66],"features.":[69],"Specifically,":[70],"attentional":[72],"cross-channel":[73],"pooling":[74],"embedded":[76],"in":[77],"FFCNN-PD":[79,118],"improve":[81],"class-":[83],"specific":[84],"patch":[85],"detectors.":[86],"In":[87],"addition,":[88],"new":[92],"panda":[94],"dataset":[96,107],"(iPanda-30)":[97],"establish":[99],"benchmark.":[101],"Experiments":[102],"on":[103],"proposed":[105],"iPanda-30":[106],"other":[109],"recognition":[111],"datasets":[112],"demonstrate":[113],"effectiveness":[115],"algorithm":[119],"against":[120],"existing":[122],"state-of-the-arts.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
