Matches in SemOpenAlex for { <https://semopenalex.org/work/W2784196857> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2784196857 abstract "Deep neural networks inspired by the connections among biological neurons have been highly effective in the advancement of computer vision. Recent research into recurrent neural networks has taken account of forward as well as recurrent connections in a neural network architecture. In this study, we proposed a model that mirrors the architecture of the human ventral pathway with separate layers representing brain regions connected using long-range recurrent links. CIFAR-10/100 datasets were used to assess the performance of object recognition using the proposed model and the results were compared with those obtained using state-of-the-art methods. We demonstrated that the classification accuracy increased as the number of recurrences increased. Our results suggest that the proposed neuroscience-inspired model can facilitate object recognition in computer vision and may help to elucidate neurological mechanisms in the human brain." @default.
- W2784196857 created "2018-01-26" @default.
- W2784196857 creator A5017647668 @default.
- W2784196857 creator A5049529521 @default.
- W2784196857 creator A5068327587 @default.
- W2784196857 date "2017-11-01" @default.
- W2784196857 modified "2023-09-27" @default.
- W2784196857 title "Neuroscience-inspired recurrent network for object recognition" @default.
- W2784196857 cites W1677182931 @default.
- W2784196857 cites W1799366690 @default.
- W2784196857 cites W1932198206 @default.
- W2784196857 cites W1934184906 @default.
- W2784196857 cites W1981794758 @default.
- W2784196857 cites W1984571973 @default.
- W2784196857 cites W2093656888 @default.
- W2784196857 cites W2095705004 @default.
- W2784196857 cites W2117539524 @default.
- W2784196857 cites W2137388705 @default.
- W2784196857 cites W2143612262 @default.
- W2784196857 cites W2153158097 @default.
- W2784196857 cites W2162950292 @default.
- W2784196857 cites W2170942820 @default.
- W2784196857 cites W2194775991 @default.
- W2784196857 cites W2274287116 @default.
- W2784196857 cites W2302255633 @default.
- W2784196857 cites W2335728318 @default.
- W2784196857 cites W2949117887 @default.
- W2784196857 cites W2963606038 @default.
- W2784196857 cites W2963919294 @default.
- W2784196857 cites W3118608800 @default.
- W2784196857 doi "https://doi.org/10.1109/ispacs.2017.8266572" @default.
- W2784196857 hasPublicationYear "2017" @default.
- W2784196857 type Work @default.
- W2784196857 sameAs 2784196857 @default.
- W2784196857 citedByCount "1" @default.
- W2784196857 countsByYear W27841968572020 @default.
- W2784196857 crossrefType "proceedings-article" @default.
- W2784196857 hasAuthorship W2784196857A5017647668 @default.
- W2784196857 hasAuthorship W2784196857A5049529521 @default.
- W2784196857 hasAuthorship W2784196857A5068327587 @default.
- W2784196857 hasConcept C108583219 @default.
- W2784196857 hasConcept C119857082 @default.
- W2784196857 hasConcept C123657996 @default.
- W2784196857 hasConcept C142362112 @default.
- W2784196857 hasConcept C147168706 @default.
- W2784196857 hasConcept C153180895 @default.
- W2784196857 hasConcept C153349607 @default.
- W2784196857 hasConcept C154945302 @default.
- W2784196857 hasConcept C15744967 @default.
- W2784196857 hasConcept C169760540 @default.
- W2784196857 hasConcept C2781238097 @default.
- W2784196857 hasConcept C31972630 @default.
- W2784196857 hasConcept C41008148 @default.
- W2784196857 hasConcept C50644808 @default.
- W2784196857 hasConcept C64876066 @default.
- W2784196857 hasConceptScore W2784196857C108583219 @default.
- W2784196857 hasConceptScore W2784196857C119857082 @default.
- W2784196857 hasConceptScore W2784196857C123657996 @default.
- W2784196857 hasConceptScore W2784196857C142362112 @default.
- W2784196857 hasConceptScore W2784196857C147168706 @default.
- W2784196857 hasConceptScore W2784196857C153180895 @default.
- W2784196857 hasConceptScore W2784196857C153349607 @default.
- W2784196857 hasConceptScore W2784196857C154945302 @default.
- W2784196857 hasConceptScore W2784196857C15744967 @default.
- W2784196857 hasConceptScore W2784196857C169760540 @default.
- W2784196857 hasConceptScore W2784196857C2781238097 @default.
- W2784196857 hasConceptScore W2784196857C31972630 @default.
- W2784196857 hasConceptScore W2784196857C41008148 @default.
- W2784196857 hasConceptScore W2784196857C50644808 @default.
- W2784196857 hasConceptScore W2784196857C64876066 @default.
- W2784196857 hasLocation W27841968571 @default.
- W2784196857 hasOpenAccess W2784196857 @default.
- W2784196857 hasPrimaryLocation W27841968571 @default.
- W2784196857 hasRelatedWork W1584057740 @default.
- W2784196857 hasRelatedWork W1990901789 @default.
- W2784196857 hasRelatedWork W2016477528 @default.
- W2784196857 hasRelatedWork W2020462650 @default.
- W2784196857 hasRelatedWork W2044055147 @default.
- W2784196857 hasRelatedWork W2134524098 @default.
- W2784196857 hasRelatedWork W2138330409 @default.
- W2784196857 hasRelatedWork W2295124258 @default.
- W2784196857 hasRelatedWork W2484190244 @default.
- W2784196857 hasRelatedWork W2527502053 @default.
- W2784196857 hasRelatedWork W2797394321 @default.
- W2784196857 hasRelatedWork W2900996543 @default.
- W2784196857 hasRelatedWork W2973843421 @default.
- W2784196857 hasRelatedWork W2996170727 @default.
- W2784196857 hasRelatedWork W3132748161 @default.
- W2784196857 hasRelatedWork W3155773672 @default.
- W2784196857 hasRelatedWork W3170889472 @default.
- W2784196857 hasRelatedWork W3200906878 @default.
- W2784196857 hasRelatedWork W3200951067 @default.
- W2784196857 hasRelatedWork W97516348 @default.
- W2784196857 isParatext "false" @default.
- W2784196857 isRetracted "false" @default.
- W2784196857 magId "2784196857" @default.
- W2784196857 workType "article" @default.