{"id":"https://openalex.org/W2806406640","doi":"https://doi.org/10.1109/icarsc.2018.8374166","title":"Evaluating pruned object detection networks for real-time robot vision","display_name":"Evaluating pruned object detection networks for real-time robot vision","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806406640","doi":"https://doi.org/10.1109/icarsc.2018.8374166","mag":"2806406640"},"language":"en","primary_location":{"id":"doi:10.1109/icarsc.2018.8374166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarsc.2018.8374166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)","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/A5063980826","display_name":"Simon O\u2019Keeffe","orcid":"https://orcid.org/0000-0003-1267-3037"},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Simon O'Keeffe","raw_affiliation_strings":["Department of Electronic Engineering, Maynooth University, Maynooth, Ireland"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Maynooth University, Maynooth, Ireland","institution_ids":["https://openalex.org/I157286207"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048781879","display_name":"Rudi Villing","orcid":"https://orcid.org/0000-0002-0245-1345"},"institutions":[{"id":"https://openalex.org/I157286207","display_name":"National University of Ireland, Maynooth","ror":"https://ror.org/048nfjm95","country_code":"IE","type":"education","lineage":["https://openalex.org/I157286207"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Rudi Villing","raw_affiliation_strings":["Department of Electronic Engineering, Maynooth University, Maynooth, Ireland"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Maynooth University, Maynooth, Ireland","institution_ids":["https://openalex.org/I157286207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063980826"],"corresponding_institution_ids":["https://openalex.org/I157286207"],"apc_list":null,"apc_paid":null,"fwci":1.149,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83447785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.996999979019165,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9951000213623047,"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/flops","display_name":"FLOPS","score":0.9450863599777222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.809259295463562},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.757183849811554},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.719008207321167},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6828274130821228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6712618470191956},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6496235728263855},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5528266429901123},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5160929560661316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4854298233985901},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4252289831638336},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42314302921295166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37699219584465027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3596254587173462},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32104620337486267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17689046263694763},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1709006130695343}],"concepts":[{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.9450863599777222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809259295463562},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.757183849811554},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.719008207321167},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6828274130821228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6712618470191956},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6496235728263855},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5528266429901123},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5160929560661316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4854298233985901},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4252289831638336},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42314302921295166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37699219584465027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3596254587173462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32104620337486267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17689046263694763},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1709006130695343},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarsc.2018.8374166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarsc.2018.8374166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:mural.maynoothuniversity.ie:13384","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196372","display_name":"MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157286207","host_organization_name":"National University of Ireland, Maynooth","host_organization_lineage":["https://openalex.org/I157286207"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2156150815","https://openalex.org/W2168356304","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2276892413","https://openalex.org/W2300242332","https://openalex.org/W2524428287","https://openalex.org/W2553910756","https://openalex.org/W2598559324","https://openalex.org/W2736346759","https://openalex.org/W2890082230","https://openalex.org/W2950656546","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963037989","https://openalex.org/W2963627647","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6639102338","https://openalex.org/W6698200048","https://openalex.org/W6726275242","https://openalex.org/W6727208969","https://openalex.org/W6729763630","https://openalex.org/W6737664043","https://openalex.org/W6741402692"],"related_works":["https://openalex.org/W4376620596","https://openalex.org/W3177249605","https://openalex.org/W2534152068","https://openalex.org/W3138508047","https://openalex.org/W1972515067","https://openalex.org/W1689909837","https://openalex.org/W4293054914","https://openalex.org/W4298525700","https://openalex.org/W2953362004","https://openalex.org/W2549121492"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2,18],"are":[3,53],"the":[4,7,32,47,75,95,100,133,136],"state":[5],"of":[6,49,79,97,102],"art":[8],"for":[9,55,73],"computer":[10],"vision":[11],"problems":[12],"such":[13,30],"as":[14,31],"classification":[15,88],"and":[16,21,35,52,120,156],"detection.":[17],"like":[19],"YOLO":[20],"SSD":[22],"have":[23],"demonstrated":[24],"excellent":[25],"results":[26,139],"on":[27,99,114],"benchmark":[28],"datasets":[29],"PASCAL":[33],"VOC":[34],"COCO":[36],"datasets.":[37],"However":[38],"these":[39],"networks":[40],"only":[41],"run":[42],"at":[43],"real":[44],"time":[45],"with":[46,143,162],"support":[48],"powerful":[50],"GPUs":[51],"infeasible":[54],"use":[56],"in":[57,86,135,154,160,165],"low":[58],"power":[59],"embedded":[60],"real-time":[61],"robotic":[62],"applications.":[63],"Pruning":[64],"has":[65],"been":[66],"shown":[67],"to":[68],"be":[69],"an":[70],"efficient":[71],"technique":[72],"reducing":[74,132],"runtime":[76],"computational":[77],"cost":[78],"a":[80,106,115,151,157],"neural":[81],"network":[82,111],"while":[83],"maintaining":[84],"performance":[85],"image":[87],"tasks.":[89],"In":[90],"this":[91],"work":[92],"we":[93],"evaluate":[94],"efficacy":[96],"pruning":[98,122,142],"problem":[101],"object":[103,117],"detection":[104,118],"using":[105],"modified":[107],"tiny-YOLO":[108],"network.":[109,137],"The":[110,138],"was":[112],"trained":[113],"custom":[116],"task":[119],"three":[121],"techniques":[123],"were":[124],"evaluated,":[125],"including":[126],"our":[127,144],"contribution":[128],"which":[129],"specifically":[130],"targets":[131],"FLOPS":[134,155],"show":[140],"that":[141],"method":[145],"followed":[146],"by":[147],"extended":[148],"fine-tuning":[149],"achieved":[150],"4.5x":[152],"reduction":[153,159],"7x":[158],"parameters":[161],"no":[163],"drop":[164],"accuracy.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}