{"id":"https://openalex.org/W4408023971","doi":"https://doi.org/10.1145/3708568.3708592","title":"Local Feature Extraction Method Based on Dual Attention Network for Forest Scenes","display_name":"Local Feature Extraction Method Based on Dual Attention Network for Forest Scenes","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4408023971","doi":"https://doi.org/10.1145/3708568.3708592"},"language":"en","primary_location":{"id":"doi:10.1145/3708568.3708592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708568.3708592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-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/A5055238442","display_name":"Yu-Jen Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangjie Chu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, Nanjing, Jiangsu, China,"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, Nanjing, Jiangsu, China,","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104055014","display_name":"Xiaobo Lu","orcid":"https://orcid.org/0000-0002-7707-7538"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Lu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, Nanjing, Jiangsu, China,"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of Complex Systems of Engineering, School of Automation, Southeast University, Nanjing, Jiangsu, China,","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055238442"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.2493,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5837859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"156"},"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":0.9962999820709229,"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":0.9962999820709229,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7256180644035339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7052686810493469},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6105523109436035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054387092590332},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5303980112075806},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4415627121925354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4165915250778198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4077547788619995}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7256180644035339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7052686810493469},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6105523109436035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054387092590332},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5303980112075806},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4415627121925354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4165915250778198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4077547788619995},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708568.3708592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708568.3708592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2151103935","https://openalex.org/W2471962767","https://openalex.org/W2786965798","https://openalex.org/W2955058313","https://openalex.org/W2963748588","https://openalex.org/W2979458572","https://openalex.org/W2991115635","https://openalex.org/W3034411221","https://openalex.org/W3043075211","https://openalex.org/W3045642835","https://openalex.org/W3091546937","https://openalex.org/W3106462076","https://openalex.org/W3115267626","https://openalex.org/W3166285241","https://openalex.org/W3189426586","https://openalex.org/W3191460670","https://openalex.org/W4200629514","https://openalex.org/W4211154833","https://openalex.org/W4213455934","https://openalex.org/W4214925515","https://openalex.org/W4372347372","https://openalex.org/W4386071687","https://openalex.org/W4386076019","https://openalex.org/W4386076352","https://openalex.org/W6677308130","https://openalex.org/W6739901393","https://openalex.org/W6779387320"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"The":[0],"existing":[1],"learning-based":[2],"image":[3,53,64,107],"feature":[4,54,74,81,108,123,128],"point":[5,55],"extraction":[6,56],"methods":[7],"ignore":[8],"the":[9,13,33,44,62,80,86,106,111,115,121,126,134,150,155,162],"contextual":[10],"information":[11],"in":[12,18,110,161],"image,":[14],"and":[15,20,70,97,114,119,136,154],"perform":[16],"poorly":[17],"repetitive":[19],"weak":[21],"texture":[22],"scenes":[23],"such":[24],"as":[25,103],"forest":[26,38,165],"scenes,":[27],"which":[28,91],"brings":[29],"great":[30],"difficulties":[31],"to":[32,42,104,132],"3D":[34],"reconstruction":[35],"task":[36],"of":[37],"scenes.":[39],"In":[40],"order":[41],"solve":[43],"above":[45],"problems,":[46],"this":[47],"paper":[48],"proposes":[49],"a":[50,73,93,98],"new":[51],"self-supervised":[52],"method":[57,143],"with":[58],"attention":[59,88,95,100],"mechanism.":[60],"First,":[61],"input":[63],"is":[65,83,130],"processed":[66],"by":[67],"an":[68],"encoder":[69],"encoded":[71],"into":[72,85],"map":[75,82,129],"containing":[76],"multi-scale":[77],"information.":[78],"Then,":[79],"fed":[84],"dual":[87],"mechanism":[89],"module,":[90,101],"includes":[92],"position":[94],"module":[96],"channel":[99,116],"so":[102],"obtain":[105,120],"correlation":[109],"spatial":[112],"dimension":[113,117],"respectively,":[118],"enhanced":[122,127],"map.":[124],"Finally,":[125],"used":[131],"train":[133],"detector":[135],"descriptor":[137],"respectively.":[138],"Experiments":[139],"show":[140],"that":[141],"our":[142],"has":[144],"achieved":[145],"some":[146],"improvement":[147],"on":[148],"both":[149],"public":[151],"dataset":[152,157],"Hpatches":[153],"virtual":[156],"Tartan":[158],"Air,":[159],"especially":[160],"weakly":[163],"textured":[164],"scene.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}