{"id":"https://openalex.org/W4384945908","doi":"https://doi.org/10.1109/gcon58516.2023.10183609","title":"Object Detection Based Approaches in Image Classification: A Brief Overview","display_name":"Object Detection Based Approaches in Image Classification: A Brief Overview","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4384945908","doi":"https://doi.org/10.1109/gcon58516.2023.10183609"},"language":"en","primary_location":{"id":"doi:10.1109/gcon58516.2023.10183609","doi":"https://doi.org/10.1109/gcon58516.2023.10183609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcon58516.2023.10183609","pdf_url":null,"source":{"id":"https://openalex.org/S7407087217","display_name":"IEEE Guwahati Subsection Conference (GCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Guwahati Subsection Conference (GCON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5016866607","display_name":"Akshima Aggarwal","orcid":"https://orcid.org/0009-0004-1947-3171","observed_orcids":["https://orcid.org/0009-0004-1947-3171"]},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshima Aggarwal","raw_affiliation_strings":["Chandigarh University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chandigarh University","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103256232","display_name":"Vaneet Kumar","orcid":"https://orcid.org/0000-0002-9990-2674","observed_orcids":["https://orcid.org/0000-0002-9990-2674"]},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaneet Kumar","raw_affiliation_strings":["Chandigarh University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chandigarh University","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101956022","display_name":"Ruchika Gupta","orcid":"https://orcid.org/0000-0001-7170-066X","observed_orcids":["https://orcid.org/0000-0001-7170-066X"]},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ruchika Gupta","raw_affiliation_strings":["Chandigarh University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chandigarh University","institution_ids":["https://openalex.org/I101407740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I101407740"],"apc_list":null,"apc_paid":null,"fwci":1.08,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86311619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9955999851226807,"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":0.9955999851226807,"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":0.0020000000949949026,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.0012000000569969416,"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/object-detection","display_name":"object detection","score":1.0},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.9330000281333923},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7929999828338623},{"id":"https://openalex.org/keywords/sliding-window","display_name":"sliding window","score":0.7400000095367432},{"id":"https://openalex.org/keywords/object-localization","display_name":"object localization","score":0.6840000152587891}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.803497314453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829556465148926},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7182714343070984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6815491914749146},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.617426335811615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5938009023666382},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5720686912536621},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5511891841888428},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5510410666465759},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48311755061149597},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4567282795906067},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4520443081855774},{"id":"https://openalex.org/C512554520","wikidata":"https://www.wikidata.org/wiki/Q815844","display_name":"Method","level":3,"score":0.43676865100860596},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4297915995121002},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3796355128288269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3580119013786316},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.2888307571411133},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.20591628551483154},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.07155072689056396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0658172070980072},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcon58516.2023.10183609","doi":"https://doi.org/10.1109/gcon58516.2023.10183609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcon58516.2023.10183609","pdf_url":null,"source":{"id":"https://openalex.org/S7407087217","display_name":"IEEE Guwahati Subsection Conference (GCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Guwahati Subsection Conference (GCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W613766092","https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W1576445103","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1892339738","https://openalex.org/W1928278792","https://openalex.org/W1969840923","https://openalex.org/W1975830550","https://openalex.org/W2055103940","https://openalex.org/W2067713319","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2106792145","https://openalex.org/W2118858186","https://openalex.org/W2160613085","https://openalex.org/W2166049352","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2570343428","https://openalex.org/W2612445135","https://openalex.org/W2963446712","https://openalex.org/W4390873752","https://openalex.org/W6634343353","https://openalex.org/W6703116779"],"related_works":["https://openalex.org/W3046775906","https://openalex.org/W2976211451","https://openalex.org/W4408703525","https://openalex.org/W3109260572","https://openalex.org/W4206193927","https://openalex.org/W3158656230","https://openalex.org/W4295037678","https://openalex.org/W3164165365","https://openalex.org/W3038672259","https://openalex.org/W7125404135"],"abstract_inverted_index":{"Several":[0],"methods":[1,26,182],"have":[2,118,158],"been":[3],"put":[4],"out":[5,28],"in":[6,11,63,80,100,141,175],"the":[7,12,18,29,74,78,81,84,97,101,109,112,120],"past":[8],"few":[9],"years":[10],"field":[13],"of":[14,20,31,43,59,77,111,163],"computer":[15],"vision":[16],"for":[17,167],"goal":[19],"obj":[21,60],"ect":[22,61],"detection.":[23],"The":[24,57,126],"offered":[25],"carry":[27],"task":[30],"classifying":[32],"and":[33,49,66,134,151,169,183],"locating":[34],"an":[35,38],"object":[36,46,79,98,121,131,136,154,180],"inside":[37],"image":[39,82,103],"or":[40],"a":[41,94,161],"series":[42],"photos.":[44],"Modern":[45],"detection":[47,62,122,137,150,155],"frameworks":[48,166],"techniques":[50],"are":[51,68,139],"referred":[52],"to":[53,178],"as":[54],"evolutionary":[55,71,85,124],"approaches.":[56],"challenges":[58],"numerous":[64],"photos":[65],"movies":[67],"addressed":[69],"through":[70],"techniques.":[72],"Using":[73],"spatial":[75],"information":[76],"frames,":[83],"approach":[86],"based":[87],"approaches":[88],"may":[89,172],"detect":[90],"objects.":[91,113],"By":[92],"sliding":[93],"window":[95],"across":[96],"instances":[99],"given":[102],"sequence,":[104],"these":[105],"algorithms":[106],"can":[107],"extract":[108],"features":[110],"In":[114],"this":[115,142],"paper,":[116],"we":[117],"reviewed":[119],"field's":[123],"strategy.":[125],"backend":[127],"CNN":[128],"architectures,":[129],"CNN-based":[130],"identification":[132,181],"techniques,":[133],"common":[135],"databases":[138],"discussed":[140],"paper.":[143],"This":[144],"paper":[145],"primarily":[146],"focus":[147],"on":[148],"dataset":[149],"finding":[152],"suitable":[153],"method.":[156],"We":[157],"also":[159],"provided":[160],"list":[162],"open":[164],"source":[165],"academics":[168],"students":[170],"who":[171],"be":[173],"interested":[174],"using":[176],"them":[177],"create":[179],"algorithms.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-07-22T00:00:00"}