FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200218075> ?p ?o ?g. }

• W4200218075 endingPage "343" @default.
• W4200218075 startingPage "332" @default.
• W4200218075 abstract "The acquisition and evaluation of road cracks are essential to ensure the availability of roads and necessary maintenance. However, the road cracks images have been obsessed with the problem of imbalance in the category and the number of categories. Among them, the category imbalance makes the network focus on the background and the detection result will be complete black. The imbalanced number of categories leads to the missed detection of thin cracks. In addition, a large number of images generated in real time put forward higher requirements on memory and calculations. The RAO-UNet is built which is an efficient and effective network for crack detection in road images using encoder–decoder and residual attention module-based image frequency relationship. Compared with otheTr methods, RAO-UNet could learn multiple-spatial-frequency features, thus can enhance the differentiation of high-frequency features while saving the computational cost. Regarding the space optimisation, a novel balance loss function is proposed, which not only solves the balance problem, but also ensures the stability and consistency in the optimisation process. We evaluated RAO-UNet on public data sets. Compared with state-of-the-art methods, it achieves better performance on processing speed and detection accuracy. Specifically, RAO-UNet achieves 98.32% / 97.86% Precision, 97.84% / 95.89% Recall, 97.61% / 97.04% F1 score on CFD and AigleRN data sets, respectively." @default.
• W4200218075 created "2021-12-31" @default.
• W4200218075 creator A5004286185 @default.
• W4200218075 creator A5036072720 @default.
• W4200218075 creator A5043455997 @default.
• W4200218075 creator A5053844211 @default.
• W4200218075 creator A5060002817 @default.
• W4200218075 creator A5063246896 @default.
• W4200218075 date "2021-12-03" @default.
• W4200218075 modified "2023-10-05" @default.
• W4200218075 title "RAO‐UNet: a residual attention and octave UNet for road crack detection via balance loss" @default.
• W4200218075 cites W1995130521 @default.
• W4200218075 cites W1999864197 @default.
• W4200218075 cites W2005155826 @default.
• W4200218075 cites W2058988978 @default.
• W4200218075 cites W2090026077 @default.
• W4200218075 cites W2114268578 @default.
• W4200218075 cites W2138014601 @default.
• W4200218075 cites W2144801789 @default.
• W4200218075 cites W2195180028 @default.
• W4200218075 cites W2325975990 @default.
• W4200218075 cites W2407692387 @default.
• W4200218075 cites W2523358814 @default.
• W4200218075 cites W2734349601 @default.
• W4200218075 cites W2799323087 @default.
• W4200218075 cites W2883780447 @default.
• W4200218075 cites W2887092226 @default.
• W4200218075 cites W2897267929 @default.
• W4200218075 cites W2899242765 @default.
• W4200218075 cites W2962914239 @default.
• W4200218075 cites W2963043051 @default.
• W4200218075 cites W2963351448 @default.
• W4200218075 cites W2963495494 @default.
• W4200218075 cites W2964308596 @default.
• W4200218075 cites W2965658867 @default.
• W4200218075 cites W2970826166 @default.
• W4200218075 cites W2979872609 @default.
• W4200218075 cites W2982363097 @default.
• W4200218075 cites W2982564821 @default.
• W4200218075 cites W2988396473 @default.
• W4200218075 cites W2989505547 @default.
• W4200218075 cites W3005498204 @default.
• W4200218075 cites W3009621818 @default.
• W4200218075 cites W3022152095 @default.
• W4200218075 cites W3022492425 @default.
• W4200218075 cites W3036991312 @default.
• W4200218075 cites W845365781 @default.
• W4200218075 doi "https://doi.org/10.1049/itr2.12146" @default.
• W4200218075 hasPublicationYear "2021" @default.
• W4200218075 type Work @default.
• W4200218075 citedByCount "12" @default.
• W4200218075 countsByYear W42002180752022 @default.
• W4200218075 countsByYear W42002180752023 @default.
• W4200218075 crossrefType "journal-article" @default.
• W4200218075 hasAuthorship W4200218075A5004286185 @default.
• W4200218075 hasAuthorship W4200218075A5036072720 @default.
• W4200218075 hasAuthorship W4200218075A5043455997 @default.
• W4200218075 hasAuthorship W4200218075A5053844211 @default.
• W4200218075 hasAuthorship W4200218075A5060002817 @default.
• W4200218075 hasAuthorship W4200218075A5063246896 @default.
• W4200218075 hasBestOaLocation W42002180751 @default.
• W4200218075 hasConcept C100660578 @default.
• W4200218075 hasConcept C111919701 @default.
• W4200218075 hasConcept C112972136 @default.
• W4200218075 hasConcept C11413529 @default.
• W4200218075 hasConcept C118505674 @default.
• W4200218075 hasConcept C119857082 @default.
• W4200218075 hasConcept C138885662 @default.
• W4200218075 hasConcept C154945302 @default.
• W4200218075 hasConcept C155512373 @default.
• W4200218075 hasConcept C2776436953 @default.
• W4200218075 hasConcept C41008148 @default.
• W4200218075 hasConcept C41895202 @default.
• W4200218075 hasConceptScore W4200218075C100660578 @default.
• W4200218075 hasConceptScore W4200218075C111919701 @default.
• W4200218075 hasConceptScore W4200218075C112972136 @default.
• W4200218075 hasConceptScore W4200218075C11413529 @default.
• W4200218075 hasConceptScore W4200218075C118505674 @default.
• W4200218075 hasConceptScore W4200218075C119857082 @default.
• W4200218075 hasConceptScore W4200218075C138885662 @default.
• W4200218075 hasConceptScore W4200218075C154945302 @default.
• W4200218075 hasConceptScore W4200218075C155512373 @default.
• W4200218075 hasConceptScore W4200218075C2776436953 @default.
• W4200218075 hasConceptScore W4200218075C41008148 @default.
• W4200218075 hasConceptScore W4200218075C41895202 @default.
• W4200218075 hasFunder F4320321001 @default.
• W4200218075 hasFunder F4320335787 @default.
• W4200218075 hasIssue "3" @default.
• W4200218075 hasLocation W42002180751 @default.
• W4200218075 hasOpenAccess W4200218075 @default.
• W4200218075 hasPrimaryLocation W42002180751 @default.
• W4200218075 hasRelatedWork W2275988210 @default.
• W4200218075 hasRelatedWork W2353865532 @default.
• W4200218075 hasRelatedWork W2385621972 @default.
• W4200218075 hasRelatedWork W2430546716 @default.
• W4200218075 hasRelatedWork W2589098947 @default.
• W4200218075 hasRelatedWork W2771022762 @default.
• W4200218075 hasRelatedWork W2809253131 @default.

• next