Matches in SemOpenAlex for { <https://semopenalex.org/work/W2478159897> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2478159897 abstract "We used a convolutional neural networks based model to classify scene digits. We proposed the Horizontal and Vertical Feature Block to extract feature from different fields of the input images, which is efficient and has fewer parameters. We introduced a multi-input strategy to add location information to our model, while the traditional methods only use a part of information from the source annotations. More importantly, we released a new dataset for scene digit classification. The new dataset is collected from Baidu street view and mobile photos. The samples in the dataset are from the real world, and they are collected from many kinds of scenes in our daily lives, so that this dataset has huge potential in many applications." @default.
- W2478159897 created "2016-08-23" @default.
- W2478159897 creator A5006736414 @default.
- W2478159897 creator A5043937066 @default.
- W2478159897 creator A5082734211 @default.
- W2478159897 creator A5086529957 @default.
- W2478159897 date "2016-01-01" @default.
- W2478159897 modified "2023-10-02" @default.
- W2478159897 title "Natural Scene Digit Classification Using Convolutional Neural Networks" @default.
- W2478159897 cites W1484037809 @default.
- W2478159897 cites W1903029394 @default.
- W2478159897 cites W1942214758 @default.
- W2478159897 cites W2016538096 @default.
- W2478159897 cites W2102605133 @default.
- W2478159897 cites W2125085157 @default.
- W2478159897 cites W2147406910 @default.
- W2478159897 cites W2147800946 @default.
- W2478159897 cites W2156163116 @default.
- W2478159897 doi "https://doi.org/10.1007/978-3-319-42294-7_27" @default.
- W2478159897 hasPublicationYear "2016" @default.
- W2478159897 type Work @default.
- W2478159897 sameAs 2478159897 @default.
- W2478159897 citedByCount "1" @default.
- W2478159897 countsByYear W24781598972017 @default.
- W2478159897 crossrefType "book-chapter" @default.
- W2478159897 hasAuthorship W2478159897A5006736414 @default.
- W2478159897 hasAuthorship W2478159897A5043937066 @default.
- W2478159897 hasAuthorship W2478159897A5082734211 @default.
- W2478159897 hasAuthorship W2478159897A5086529957 @default.
- W2478159897 hasConcept C138885662 @default.
- W2478159897 hasConcept C153180895 @default.
- W2478159897 hasConcept C154945302 @default.
- W2478159897 hasConcept C2524010 @default.
- W2478159897 hasConcept C2776401178 @default.
- W2478159897 hasConcept C2777210771 @default.
- W2478159897 hasConcept C31972630 @default.
- W2478159897 hasConcept C33923547 @default.
- W2478159897 hasConcept C41008148 @default.
- W2478159897 hasConcept C41895202 @default.
- W2478159897 hasConcept C50644808 @default.
- W2478159897 hasConcept C52622490 @default.
- W2478159897 hasConcept C81363708 @default.
- W2478159897 hasConceptScore W2478159897C138885662 @default.
- W2478159897 hasConceptScore W2478159897C153180895 @default.
- W2478159897 hasConceptScore W2478159897C154945302 @default.
- W2478159897 hasConceptScore W2478159897C2524010 @default.
- W2478159897 hasConceptScore W2478159897C2776401178 @default.
- W2478159897 hasConceptScore W2478159897C2777210771 @default.
- W2478159897 hasConceptScore W2478159897C31972630 @default.
- W2478159897 hasConceptScore W2478159897C33923547 @default.
- W2478159897 hasConceptScore W2478159897C41008148 @default.
- W2478159897 hasConceptScore W2478159897C41895202 @default.
- W2478159897 hasConceptScore W2478159897C50644808 @default.
- W2478159897 hasConceptScore W2478159897C52622490 @default.
- W2478159897 hasConceptScore W2478159897C81363708 @default.
- W2478159897 hasLocation W24781598971 @default.
- W2478159897 hasOpenAccess W2478159897 @default.
- W2478159897 hasPrimaryLocation W24781598971 @default.
- W2478159897 hasRelatedWork W2095288130 @default.
- W2478159897 hasRelatedWork W2212606239 @default.
- W2478159897 hasRelatedWork W2401216818 @default.
- W2478159897 hasRelatedWork W2533302542 @default.
- W2478159897 hasRelatedWork W2547591540 @default.
- W2478159897 hasRelatedWork W2550196753 @default.
- W2478159897 hasRelatedWork W2744582969 @default.
- W2478159897 hasRelatedWork W2757454001 @default.
- W2478159897 hasRelatedWork W2792857687 @default.
- W2478159897 hasRelatedWork W2935957686 @default.
- W2478159897 hasRelatedWork W2989102912 @default.
- W2478159897 hasRelatedWork W2991446383 @default.
- W2478159897 hasRelatedWork W3013558694 @default.
- W2478159897 hasRelatedWork W3016332628 @default.
- W2478159897 hasRelatedWork W3016958897 @default.
- W2478159897 hasRelatedWork W3022982754 @default.
- W2478159897 hasRelatedWork W3114627802 @default.
- W2478159897 hasRelatedWork W3163633929 @default.
- W2478159897 hasRelatedWork W3203877373 @default.
- W2478159897 hasRelatedWork W3206203452 @default.
- W2478159897 isParatext "false" @default.
- W2478159897 isRetracted "false" @default.
- W2478159897 magId "2478159897" @default.
- W2478159897 workType "book-chapter" @default.