Matches in SemOpenAlex for { <https://semopenalex.org/work/W2914449713> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2914449713 endingPage "556" @default.
- W2914449713 startingPage "551" @default.
- W2914449713 abstract "Abstract. In recent years, the diffusion of large image datasets and an unprecedented computational power have boosted the development of a class of artificial intelligence (AI) algorithms referred to as deep learning (DL). Among DL methods, convolutional neural networks (CNNs) have proven particularly effective in computer vision, finding applications in many disciplines. This paper introduces a project aimed at studying CNN techniques in the field of architectural heritage, a still to be developed research stream. The first steps and results in the development of a mobile app to recognize monuments are discussed. While AI is just beginning to interact with the built environment through mobile devices, heritage technologies have long been producing and exploring digital models and spatial archives. The interaction between DL algorithms and state-of-the-art information modeling is addressed, as an opportunity to both exploit heritage collections and optimize new object recognition techniques." @default.
- W2914449713 created "2019-02-21" @default.
- W2914449713 creator A5079971517 @default.
- W2914449713 date "2019-01-31" @default.
- W2914449713 modified "2023-10-07" @default.
- W2914449713 title "TOWARDS DEEP LEARNING FOR ARCHITECTURE: A MONUMENT RECOGNITION MOBILE APP" @default.
- W2914449713 cites W1494598016 @default.
- W2914449713 cites W1907473230 @default.
- W2914449713 cites W1988247843 @default.
- W2914449713 cites W2157997270 @default.
- W2914449713 cites W2160377298 @default.
- W2914449713 cites W2197014440 @default.
- W2914449713 cites W2548399511 @default.
- W2914449713 cites W2557283755 @default.
- W2914449713 cites W2589813471 @default.
- W2914449713 cites W2612445135 @default.
- W2914449713 cites W2803760365 @default.
- W2914449713 cites W2900157498 @default.
- W2914449713 cites W2953139137 @default.
- W2914449713 doi "https://doi.org/10.5194/isprs-archives-xlii-2-w9-551-2019" @default.
- W2914449713 hasPublicationYear "2019" @default.
- W2914449713 type Work @default.
- W2914449713 sameAs 2914449713 @default.
- W2914449713 citedByCount "10" @default.
- W2914449713 countsByYear W29144497132019 @default.
- W2914449713 countsByYear W29144497132020 @default.
- W2914449713 countsByYear W29144497132021 @default.
- W2914449713 countsByYear W29144497132022 @default.
- W2914449713 countsByYear W29144497132023 @default.
- W2914449713 crossrefType "journal-article" @default.
- W2914449713 hasAuthorship W2914449713A5079971517 @default.
- W2914449713 hasBestOaLocation W29144497131 @default.
- W2914449713 hasConcept C108583219 @default.
- W2914449713 hasConcept C123657996 @default.
- W2914449713 hasConcept C136764020 @default.
- W2914449713 hasConcept C154945302 @default.
- W2914449713 hasConcept C165696696 @default.
- W2914449713 hasConcept C166957645 @default.
- W2914449713 hasConcept C186967261 @default.
- W2914449713 hasConcept C202444582 @default.
- W2914449713 hasConcept C205649164 @default.
- W2914449713 hasConcept C2522767166 @default.
- W2914449713 hasConcept C33923547 @default.
- W2914449713 hasConcept C38652104 @default.
- W2914449713 hasConcept C41008148 @default.
- W2914449713 hasConcept C60671577 @default.
- W2914449713 hasConcept C81363708 @default.
- W2914449713 hasConcept C9652623 @default.
- W2914449713 hasConceptScore W2914449713C108583219 @default.
- W2914449713 hasConceptScore W2914449713C123657996 @default.
- W2914449713 hasConceptScore W2914449713C136764020 @default.
- W2914449713 hasConceptScore W2914449713C154945302 @default.
- W2914449713 hasConceptScore W2914449713C165696696 @default.
- W2914449713 hasConceptScore W2914449713C166957645 @default.
- W2914449713 hasConceptScore W2914449713C186967261 @default.
- W2914449713 hasConceptScore W2914449713C202444582 @default.
- W2914449713 hasConceptScore W2914449713C205649164 @default.
- W2914449713 hasConceptScore W2914449713C2522767166 @default.
- W2914449713 hasConceptScore W2914449713C33923547 @default.
- W2914449713 hasConceptScore W2914449713C38652104 @default.
- W2914449713 hasConceptScore W2914449713C41008148 @default.
- W2914449713 hasConceptScore W2914449713C60671577 @default.
- W2914449713 hasConceptScore W2914449713C81363708 @default.
- W2914449713 hasConceptScore W2914449713C9652623 @default.
- W2914449713 hasLocation W29144497131 @default.
- W2914449713 hasLocation W29144497132 @default.
- W2914449713 hasLocation W29144497133 @default.
- W2914449713 hasOpenAccess W2914449713 @default.
- W2914449713 hasPrimaryLocation W29144497131 @default.
- W2914449713 hasRelatedWork W2731899572 @default.
- W2914449713 hasRelatedWork W2999805992 @default.
- W2914449713 hasRelatedWork W3011074480 @default.
- W2914449713 hasRelatedWork W3116150086 @default.
- W2914449713 hasRelatedWork W3133861977 @default.
- W2914449713 hasRelatedWork W3192840557 @default.
- W2914449713 hasRelatedWork W4200173597 @default.
- W2914449713 hasRelatedWork W4291897433 @default.
- W2914449713 hasRelatedWork W4312417841 @default.
- W2914449713 hasRelatedWork W4321369474 @default.
- W2914449713 hasVolume "XLII-2/W9" @default.
- W2914449713 isParatext "false" @default.
- W2914449713 isRetracted "false" @default.
- W2914449713 magId "2914449713" @default.
- W2914449713 workType "article" @default.