{"id":"https://openalex.org/W4386116222","doi":"https://doi.org/10.1109/tpami.2023.3307889","title":"Dynamic Keypoint Detection Network for Image Matching","display_name":"Dynamic Keypoint Detection Network for Image Matching","publication_year":2023,"publication_date":"2023-08-24","ids":{"openalex":"https://openalex.org/W4386116222","doi":"https://doi.org/10.1109/tpami.2023.3307889","pmid":"https://pubmed.ncbi.nlm.nih.gov/37616133"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3307889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3307889","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101916532","display_name":"Yuan Gao","orcid":"https://orcid.org/0009-0007-2080-3088"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103096924","display_name":"Jianfeng He","orcid":"https://orcid.org/0000-0002-7700-788X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng He","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648981","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442949","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0001-8382-1338"},"institutions":[{"id":"https://openalex.org/I4210137038","display_name":"Geological Exploration Technology Institute of Jiangsu Province","ror":"https://ror.org/03md1xx44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210137038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Deep Space Exploration Laboratory, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Deep Space Exploration Laboratory, Hefei, Anhui, China","institution_ids":["https://openalex.org/I4210137038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101916532"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.324,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82886547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"45","issue":"12","first_page":"14404","last_page":"14419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.690967321395874},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6199946999549866},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5825550556182861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5753426551818848},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5570084452629089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5278634428977966},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5098263621330261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46427008509635925},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4156317710876465},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4128414988517761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41155171394348145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.125033438205719},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06926259398460388}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.690967321395874},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6199946999549866},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5825550556182861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5753426551818848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5570084452629089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5278634428977966},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5098263621330261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46427008509635925},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4156317710876465},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4128414988517761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41155171394348145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.125033438205719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06926259398460388},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3307889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3307889","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37616133","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37616133","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3828173677","display_name":null,"funder_award_id":"62121002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6545572955","display_name":null,"funder_award_id":"12150007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8337718133","display_name":null,"funder_award_id":"62022078","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W1677409904","https://openalex.org/W1909224301","https://openalex.org/W1945298332","https://openalex.org/W2046166954","https://openalex.org/W2085261163","https://openalex.org/W2086504823","https://openalex.org/W2090518410","https://openalex.org/W2111308925","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2151290401","https://openalex.org/W2250384498","https://openalex.org/W2471962767","https://openalex.org/W2594519801","https://openalex.org/W2737260104","https://openalex.org/W2740418457","https://openalex.org/W2754925132","https://openalex.org/W2896241788","https://openalex.org/W2950974964","https://openalex.org/W2962748819","https://openalex.org/W2963059198","https://openalex.org/W2963154697","https://openalex.org/W2963210849","https://openalex.org/W2963617879","https://openalex.org/W2963674285","https://openalex.org/W2963748588","https://openalex.org/W2963760790","https://openalex.org/W2963827464","https://openalex.org/W2973665503","https://openalex.org/W2979458572","https://openalex.org/W2982121679","https://openalex.org/W2982892652","https://openalex.org/W2990655570","https://openalex.org/W3009931536","https://openalex.org/W3034275286","https://openalex.org/W3034411221","https://openalex.org/W3035578028","https://openalex.org/W3043075211","https://openalex.org/W3092135995","https://openalex.org/W3096609285","https://openalex.org/W3107939686","https://openalex.org/W3143092915","https://openalex.org/W3166285241","https://openalex.org/W3167674261","https://openalex.org/W3171112199","https://openalex.org/W4312815172","https://openalex.org/W6631190155","https://openalex.org/W6679434410","https://openalex.org/W6738345448","https://openalex.org/W6739901393","https://openalex.org/W6752208963","https://openalex.org/W6754984195","https://openalex.org/W6755207826","https://openalex.org/W6764177528","https://openalex.org/W6764386301","https://openalex.org/W6766978945","https://openalex.org/W6779835006","https://openalex.org/W6780053115","https://openalex.org/W6784333009","https://openalex.org/W6798837711"],"related_works":["https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2107893065","https://openalex.org/W2372581239","https://openalex.org/W1973922169","https://openalex.org/W2193676006","https://openalex.org/W2050706403"],"abstract_inverted_index":{"Establishing":[0],"effective":[1],"correspondences":[2],"between":[3],"a":[4,29,59,71,78,164],"pair":[5],"of":[6,137],"images":[7,43],"is":[8,33,106],"difficult":[9],"due":[10],"to":[11,35],"real-world":[12],"challenges":[13],"such":[14],"as":[15],"illumination,":[16],"viewpoint":[17],"and":[18,38,48,77,114,195],"scale":[19],"variations.":[20],"Modern":[21],"detector-based":[22],"methods":[23,162],"typically":[24],"learn":[25],"fixed":[26],"detectors":[27],"from":[28],"given":[30],"dataset,":[31],"which":[32,105,141],"hard":[34],"extract":[36],"repeatable":[37],"reliable":[39],"keypoints":[40,117],"for":[41,66],"various":[42],"with":[44,54,109,118],"extreme":[45],"appearance":[46],"changes":[47],"weakly":[49],"textured":[50],"scenes.":[51],"To":[52],"deal":[53],"this":[55],"problem,":[56],"we":[57],"propose":[58],"novel":[60],"Dynamic":[61],"Keypoint":[62],"Detection":[63],"Network":[64],"(DKDNet)":[65],"robust":[67,145],"image":[68,113],"matching":[69],"via":[70,101],"dynamic":[72,91],"keypoint":[73,92,99,130,146],"feature":[74,93,139],"learning":[75,94],"module":[76,95],"guided":[79,123],"heatmap":[80,124],"activator.":[81],"The":[82],"proposed":[83,90],"DKDNet":[84,158,169],"enjoys":[85],"several":[86],"merits.":[87],"First,":[88],"the":[89,102,110,122,135,172],"can":[96,115,126,142,170],"generate":[97],"adaptive":[98],"features":[100],"attention":[103],"mechanism,":[104],"flexibly":[107],"updated":[108],"current":[111],"input":[112],"capture":[116],"different":[119,138],"patterns.":[120],"Second,":[121],"activator":[125],"effectively":[127],"fuse":[128],"multi-group":[129],"heatmaps":[131],"by":[132,163,176],"fully":[133],"considering":[134],"importance":[136],"channels,":[140],"realize":[143],"more":[144],"detection.":[147],"Extensive":[148],"experimental":[149],"results":[150],"on":[151,181,187,193,200],"four":[152],"standard":[153],"benchmarks":[154],"demonstrate":[155],"that":[156],"our":[157,168],"outperforms":[159],"state-of-the-art":[160],"image-matching":[161,174],"large":[165],"margin.":[166],"Specifically,":[167],"outperform":[171],"best":[173],"method":[175],"2.1%":[177],"in":[178,184,190,197],"AUC@":[179,185,191,198],"3px":[180],"HPatches,":[182],"3.74%":[183],"5<sup>\u00b0</sup>":[186,192,199],"ScanNet,":[188],"7.14%":[189],"MegaDepth":[194],"12.32%":[196],"YFCC100M.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
