Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898041613> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2898041613 abstract "We present in this paper a novel scheme for fine-grained car model classification based on convolutional neural network and feature fusion. This scheme is called FF-CMNET (Feature Fusion based Car Model Classification Net) and is based on the principle that the car frontal images can be partitioned into upper and lower parts that exhibit distinct feature distributions but are still structurally correlated to allow feature fusion. The characteristics of FF-CMNET include: (1) the design of two separate branches, named UpNet and DownNet, for extracting the features of upper parts and lower parts of the car frontal images separately; (2) a two-step fusion of features at the output of UpNet and DownNet and then again in FusionNet; and (3) the adoption of small convolution kernels and global average pooling. Extensive experiments conducted on a benchmark dataset, CompCars, show favorable results which demonstrate that the proposed FF-CMNET is able to outperform the state-of-the-art models in the classification of large datasets." @default.
- W2898041613 created "2018-10-26" @default.
- W2898041613 creator A5002277899 @default.
- W2898041613 creator A5033178908 @default.
- W2898041613 creator A5044339131 @default.
- W2898041613 date "2018-07-01" @default.
- W2898041613 modified "2023-09-23" @default.
- W2898041613 title "FF-CMnet: A CNN-Based Model for Fine-Grained Classification of Car Models Based on Feature Fusion" @default.
- W2898041613 cites W1928906481 @default.
- W2898041613 cites W1958236864 @default.
- W2898041613 cites W196211074 @default.
- W2898041613 cites W1992636780 @default.
- W2898041613 cites W2012313888 @default.
- W2898041613 cites W2045750950 @default.
- W2898041613 cites W2049750909 @default.
- W2898041613 cites W2097117768 @default.
- W2898041613 cites W2138011018 @default.
- W2898041613 cites W2155893237 @default.
- W2898041613 cites W2294126139 @default.
- W2898041613 cites W2475242006 @default.
- W2898041613 cites W2549125172 @default.
- W2898041613 cites W2605117450 @default.
- W2898041613 cites W2618530766 @default.
- W2898041613 doi "https://doi.org/10.1109/icme.2018.8486443" @default.
- W2898041613 hasPublicationYear "2018" @default.
- W2898041613 type Work @default.
- W2898041613 sameAs 2898041613 @default.
- W2898041613 citedByCount "13" @default.
- W2898041613 countsByYear W28980416132019 @default.
- W2898041613 countsByYear W28980416132020 @default.
- W2898041613 countsByYear W28980416132021 @default.
- W2898041613 countsByYear W28980416132022 @default.
- W2898041613 countsByYear W28980416132023 @default.
- W2898041613 crossrefType "proceedings-article" @default.
- W2898041613 hasAuthorship W2898041613A5002277899 @default.
- W2898041613 hasAuthorship W2898041613A5033178908 @default.
- W2898041613 hasAuthorship W2898041613A5044339131 @default.
- W2898041613 hasConcept C114614502 @default.
- W2898041613 hasConcept C13280743 @default.
- W2898041613 hasConcept C134306372 @default.
- W2898041613 hasConcept C138885662 @default.
- W2898041613 hasConcept C153180895 @default.
- W2898041613 hasConcept C154945302 @default.
- W2898041613 hasConcept C158525013 @default.
- W2898041613 hasConcept C185798385 @default.
- W2898041613 hasConcept C205649164 @default.
- W2898041613 hasConcept C2776401178 @default.
- W2898041613 hasConcept C33923547 @default.
- W2898041613 hasConcept C41008148 @default.
- W2898041613 hasConcept C41895202 @default.
- W2898041613 hasConcept C45347329 @default.
- W2898041613 hasConcept C50644808 @default.
- W2898041613 hasConcept C52622490 @default.
- W2898041613 hasConcept C70437156 @default.
- W2898041613 hasConcept C74193536 @default.
- W2898041613 hasConcept C77618280 @default.
- W2898041613 hasConcept C81363708 @default.
- W2898041613 hasConceptScore W2898041613C114614502 @default.
- W2898041613 hasConceptScore W2898041613C13280743 @default.
- W2898041613 hasConceptScore W2898041613C134306372 @default.
- W2898041613 hasConceptScore W2898041613C138885662 @default.
- W2898041613 hasConceptScore W2898041613C153180895 @default.
- W2898041613 hasConceptScore W2898041613C154945302 @default.
- W2898041613 hasConceptScore W2898041613C158525013 @default.
- W2898041613 hasConceptScore W2898041613C185798385 @default.
- W2898041613 hasConceptScore W2898041613C205649164 @default.
- W2898041613 hasConceptScore W2898041613C2776401178 @default.
- W2898041613 hasConceptScore W2898041613C33923547 @default.
- W2898041613 hasConceptScore W2898041613C41008148 @default.
- W2898041613 hasConceptScore W2898041613C41895202 @default.
- W2898041613 hasConceptScore W2898041613C45347329 @default.
- W2898041613 hasConceptScore W2898041613C50644808 @default.
- W2898041613 hasConceptScore W2898041613C52622490 @default.
- W2898041613 hasConceptScore W2898041613C70437156 @default.
- W2898041613 hasConceptScore W2898041613C74193536 @default.
- W2898041613 hasConceptScore W2898041613C77618280 @default.
- W2898041613 hasConceptScore W2898041613C81363708 @default.
- W2898041613 hasLocation W28980416131 @default.
- W2898041613 hasOpenAccess W2898041613 @default.
- W2898041613 hasPrimaryLocation W28980416131 @default.
- W2898041613 hasRelatedWork W1664573881 @default.
- W2898041613 hasRelatedWork W2059299633 @default.
- W2898041613 hasRelatedWork W2291847203 @default.
- W2898041613 hasRelatedWork W2319888919 @default.
- W2898041613 hasRelatedWork W2514274290 @default.
- W2898041613 hasRelatedWork W2732542196 @default.
- W2898041613 hasRelatedWork W2760085659 @default.
- W2898041613 hasRelatedWork W2969680539 @default.
- W2898041613 hasRelatedWork W4225850200 @default.
- W2898041613 hasRelatedWork W4307117586 @default.
- W2898041613 isParatext "false" @default.
- W2898041613 isRetracted "false" @default.
- W2898041613 magId "2898041613" @default.
- W2898041613 workType "article" @default.