{"id":"https://openalex.org/W2783247274","doi":"https://doi.org/10.1109/cbs.2017.8266104","title":"Analysing the effects of pooling combinations on invariance to position and deformation in convolutional neural networks","display_name":"Analysing the effects of pooling combinations on invariance to position and deformation in convolutional neural networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2783247274","doi":"https://doi.org/10.1109/cbs.2017.8266104","mag":"2783247274"},"language":"en","primary_location":{"id":"doi:10.1109/cbs.2017.8266104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbs.2017.8266104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Cyborg and Bionic Systems (CBS)","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/A5055004003","display_name":"Jiahuan Zhou","orcid":"https://orcid.org/0000-0002-3301-747X"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahuan Zhou","raw_affiliation_strings":["College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100962890","display_name":"Weiqi Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Xu","raw_affiliation_strings":["College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012302920","display_name":"Ryad Chellali","orcid":"https://orcid.org/0000-0003-3395-2254"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ryad Chellali","raw_affiliation_strings":["College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055004003"],"corresponding_institution_ids":["https://openalex.org/I134687103"],"apc_list":null,"apc_paid":null,"fwci":0.3641,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70269172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"26","issue":null,"first_page":"226","last_page":"230"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/pooling","display_name":"Pooling","score":0.9141644239425659},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8167780637741089},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7941574454307556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7800454497337341},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7001112699508667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915189027786255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5643099546432495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47623661160469055},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4668460786342621},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4521506130695343},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3311691880226135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21128234267234802},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07491561770439148}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.9141644239425659},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8167780637741089},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7941574454307556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7800454497337341},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7001112699508667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915189027786255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5643099546432495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47623661160469055},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4668460786342621},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4521506130695343},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3311691880226135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21128234267234802},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07491561770439148},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbs.2017.8266104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbs.2017.8266104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Cyborg and Bionic Systems (CBS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1907282891","https://openalex.org/W1985752789","https://openalex.org/W2022457541","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2130306094","https://openalex.org/W2152497074","https://openalex.org/W2163605009","https://openalex.org/W2166440240","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2600030077","https://openalex.org/W2613718673","https://openalex.org/W2962835968","https://openalex.org/W2963542991","https://openalex.org/W2963574257","https://openalex.org/W4235889766","https://openalex.org/W4239072543","https://openalex.org/W6629368666","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6639736908","https://openalex.org/W6676297131","https://openalex.org/W6679349572","https://openalex.org/W6684191040","https://openalex.org/W6684408777"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2810679507"],"abstract_inverted_index":{"Visual":[0],"object":[1],"recognition":[2,63,126],"is":[3,146],"an":[4,93],"important":[5],"task":[6],"in":[7,26,60,121,170],"advanced":[8],"robotics":[9],"systems":[10],"for":[11],"grasping":[12],"or":[13],"localizing":[14],"purposes.":[15],"Holistic":[16],"solutions":[17,33],"based":[18],"on":[19],"convolutional":[20],"neural":[21],"networks":[22,136],"showed":[23],"impressive":[24],"performances":[25,36,91],"terms":[27],"of":[28,53,79,92,104,116,134,143,164,173],"recognition,":[29],"however,":[30],"the":[31,51,77,90,114,117,122,132,135,141,144,152,162,174],"proposed":[32],"have":[34],"unsatisfying":[35],"against":[37],"pose":[38],"variability":[39],"such":[40],"as":[41],"projective":[42],"deformation":[43],"and":[44,57,73,83,96,119],"occlusions.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,75],"evaluate":[50],"robustness":[52,139],"different":[54,71,102],"ConvNet":[55],"architectures":[56],"pooling":[58,105],"methods":[59],"handling":[61],"objects":[62,69],"under":[64],"deformation.":[65],"To":[66],"simulate":[67],"viewing":[68],"from":[70],"angles":[72],"positions,":[74],"introduce":[76],"concepts":[78],"random":[80,85],"affine":[81,86],"transformation":[82],"constraint":[84],"transformation.":[87],"We":[88],"studied":[89],"AlexNet-based":[94],"model":[95,99],"a":[97,148],"VGG-based":[98],"while":[100,128],"using":[101,111,129],"combinations":[103],"methods.":[106],"The":[107],"result":[108],"reveals":[109],"that":[110,156],"max-pooling":[112],"at":[113,131],"front":[115,133],"network":[118],"average-pooling":[120,130],"back":[123],"achieves":[124],"higher":[125],"rate,":[127],"shows":[137],"better":[138],"when":[140],"distortion":[142],"input":[145],"within":[147],"limited":[149],"range.":[150],"Moreover,":[151],"results":[153],"also":[154],"show":[155],"ConvNets":[157],"are":[158],"more":[159],"sensitive":[160],"to":[161],"loss":[163],"information":[165],"(occlusions)":[166],"than":[167],"distortions":[168],"(changes":[169],"spatial":[171],"distribution":[172],"original":[175],"image":[176],"information)":[177]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
