{"id":"https://openalex.org/W4210795610","doi":"https://doi.org/10.1145/3497623.3497642","title":"Object Detection with Shallow Feature Learning Network","display_name":"Object Detection with Shallow Feature Learning Network","publication_year":2021,"publication_date":"2021-10-15","ids":{"openalex":"https://openalex.org/W4210795610","doi":"https://doi.org/10.1145/3497623.3497642"},"language":"en","primary_location":{"id":"doi:10.1145/3497623.3497642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3497623.3497642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th International Conference on Computing and Pattern Recognition","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/A5088696461","display_name":"Kang Tong","orcid":"https://orcid.org/0000-0002-9080-8139"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Tong","raw_affiliation_strings":["College of Electronic and Information Engineering, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101615576","display_name":"Yiquan Wu","orcid":"https://orcid.org/0000-0002-0194-8042"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiquan Wu","raw_affiliation_strings":["College of Electronic and Information Engineering, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.0955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43098052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9983000159263611,"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":0.7784050703048706},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6940826177597046},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5469328761100769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5371291041374207},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5224732160568237},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5089545249938965},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5038763880729675},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4953259527683258},{"id":"https://openalex.org/keywords/waves-and-shallow-water","display_name":"Waves and shallow water","score":0.42346084117889404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38102883100509644},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1377061903476715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784050703048706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6940826177597046},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5469328761100769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5371291041374207},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5224732160568237},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5089545249938965},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5038763880729675},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4953259527683258},{"id":"https://openalex.org/C186348155","wikidata":"https://www.wikidata.org/wiki/Q7975538","display_name":"Waves and shallow water","level":2,"score":0.42346084117889404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38102883100509644},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1377061903476715},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3497623.3497642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3497623.3497642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 10th International Conference on Computing and Pattern Recognition","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":30,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2577537809","https://openalex.org/W2883108970","https://openalex.org/W2884131745","https://openalex.org/W2884367402","https://openalex.org/W2924873663","https://openalex.org/W2963218601","https://openalex.org/W2963455537","https://openalex.org/W2987036866","https://openalex.org/W2988916019","https://openalex.org/W3013211776","https://openalex.org/W3014658379","https://openalex.org/W3015023488","https://openalex.org/W3026930019","https://openalex.org/W3040430115","https://openalex.org/W3046641203","https://openalex.org/W3080079484","https://openalex.org/W3084133296","https://openalex.org/W3104769336","https://openalex.org/W3105022516","https://openalex.org/W3170761993","https://openalex.org/W6639102338","https://openalex.org/W6730903564","https://openalex.org/W6732243160","https://openalex.org/W6744513237","https://openalex.org/W6746776673","https://openalex.org/W6751733626","https://openalex.org/W6785652829","https://openalex.org/W6967100175"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2970686063","https://openalex.org/W3160733999","https://openalex.org/W2975200075","https://openalex.org/W2922421953","https://openalex.org/W2801801420","https://openalex.org/W3187859696","https://openalex.org/W3185756512","https://openalex.org/W2546942002","https://openalex.org/W2785535669"],"abstract_inverted_index":{"A":[0],"shallow":[1,13,24,39,45,51],"feature":[2,46,52],"learning":[3],"network":[4],"(SFLN)":[5],"is":[6],"proposed":[7,108],"to":[8,20,61,90],"explore":[9],"the":[10,23,30,38,104],"impact":[11],"of":[12,32,106],"layers":[14],"in":[15,78],"object":[16],"detection.":[17],"In":[18],"order":[19],"effectively":[21],"use":[22],"features":[25,77,89],"and":[26,34,50,64,100],"make":[27],"up":[28],"for":[29],"lack":[31],"semantic":[33,63],"contextual":[35,65],"information":[36],"at":[37],"layers,":[40],"we":[41,57,70],"introduce":[42],"two":[43],"components:":[44],"fusion":[47,53],"block":[48],"(SFFB)":[49],"module":[54],"(SFFM).":[55],"First,":[56],"devise":[58],"a":[59,72],"SFFB":[60],"capture":[62],"information.":[66],"Based":[67],"on":[68,98],"SFFB,":[69],"design":[71],"SFFM.":[73],"The":[74,95],"relatively":[75],"high-level":[76],"SFFM":[79],"have":[80],"abundant":[81],"category":[82],"information,":[83],"which":[84],"can":[85],"further":[86],"guide":[87],"low-level":[88],"select":[91],"precise":[92],"resolution":[93],"details.":[94],"experimental":[96],"results":[97],"Mini-COCO":[99],"RSOD":[101],"dataset":[102],"show":[103],"effectiveness":[105],"our":[107],"method.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}