Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379229227> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4379229227 endingPage "2904" @default.
- W4379229227 startingPage "2904" @default.
- W4379229227 abstract "Ship classification technology using synthetic aperture radar (SAR) has become a research hotspot. Many deep-learning-based methods have been proposed with handcrafted models or using transplanted computer vision networks. However, most of these methods are designed for graphics processing unit (GPU) platforms, leading to limited scope for application. This paper proposes a novel mini-size searched convolutional Metaformer (SCM) for classifying SAR ships. Firstly, a network architecture searching (NAS) algorithm with progressive data augmentation is proposed to find an efficient baseline convolutional network. Then, a transformer classifier is employed to improve the spatial awareness capability. Moreover, a ConvFormer cell is proposed by filling the searched normal convolutional cell into a Metaformer block. This novel cell architecture further improves the feature-extracting capability. Experimental results obtained show that the proposed SCM provides the best accuracy with only 0.46×106 weights, achieving a good trade-off between performance and model size." @default.
- W4379229227 created "2023-06-04" @default.
- W4379229227 creator A5000814660 @default.
- W4379229227 creator A5043066288 @default.
- W4379229227 creator A5062013169 @default.
- W4379229227 creator A5068275268 @default.
- W4379229227 date "2023-06-02" @default.
- W4379229227 modified "2023-10-12" @default.
- W4379229227 title "SCM: A Searched Convolutional Metaformer for SAR Ship Classification" @default.
- W4379229227 cites W1817561967 @default.
- W4379229227 cites W1988790447 @default.
- W4379229227 cites W1994616650 @default.
- W4379229227 cites W2019178979 @default.
- W4379229227 cites W2069609746 @default.
- W4379229227 cites W2079299474 @default.
- W4379229227 cites W2113242816 @default.
- W4379229227 cites W2114450360 @default.
- W4379229227 cites W2120066054 @default.
- W4379229227 cites W2194775991 @default.
- W4379229227 cites W2752782242 @default.
- W4379229227 cites W2762294195 @default.
- W4379229227 cites W2891315279 @default.
- W4379229227 cites W2909500413 @default.
- W4379229227 cites W2963163009 @default.
- W4379229227 cites W2964081807 @default.
- W4379229227 cites W2970084480 @default.
- W4379229227 cites W3012162230 @default.
- W4379229227 cites W3034242291 @default.
- W4379229227 cites W3045253480 @default.
- W4379229227 cites W3126889605 @default.
- W4379229227 cites W3138516171 @default.
- W4379229227 cites W4236137412 @default.
- W4379229227 cites W4239510810 @default.
- W4379229227 cites W4250482878 @default.
- W4379229227 cites W4255158661 @default.
- W4379229227 cites W4312471029 @default.
- W4379229227 cites W4312820606 @default.
- W4379229227 doi "https://doi.org/10.3390/rs15112904" @default.
- W4379229227 hasPublicationYear "2023" @default.
- W4379229227 type Work @default.
- W4379229227 citedByCount "0" @default.
- W4379229227 crossrefType "journal-article" @default.
- W4379229227 hasAuthorship W4379229227A5000814660 @default.
- W4379229227 hasAuthorship W4379229227A5043066288 @default.
- W4379229227 hasAuthorship W4379229227A5062013169 @default.
- W4379229227 hasAuthorship W4379229227A5068275268 @default.
- W4379229227 hasBestOaLocation W43792292271 @default.
- W4379229227 hasConcept C123657996 @default.
- W4379229227 hasConcept C124101348 @default.
- W4379229227 hasConcept C142362112 @default.
- W4379229227 hasConcept C153180895 @default.
- W4379229227 hasConcept C153349607 @default.
- W4379229227 hasConcept C154945302 @default.
- W4379229227 hasConcept C41008148 @default.
- W4379229227 hasConcept C81363708 @default.
- W4379229227 hasConcept C87360688 @default.
- W4379229227 hasConcept C95623464 @default.
- W4379229227 hasConceptScore W4379229227C123657996 @default.
- W4379229227 hasConceptScore W4379229227C124101348 @default.
- W4379229227 hasConceptScore W4379229227C142362112 @default.
- W4379229227 hasConceptScore W4379229227C153180895 @default.
- W4379229227 hasConceptScore W4379229227C153349607 @default.
- W4379229227 hasConceptScore W4379229227C154945302 @default.
- W4379229227 hasConceptScore W4379229227C41008148 @default.
- W4379229227 hasConceptScore W4379229227C81363708 @default.
- W4379229227 hasConceptScore W4379229227C87360688 @default.
- W4379229227 hasConceptScore W4379229227C95623464 @default.
- W4379229227 hasFunder F4320321001 @default.
- W4379229227 hasIssue "11" @default.
- W4379229227 hasLocation W43792292271 @default.
- W4379229227 hasOpenAccess W4379229227 @default.
- W4379229227 hasPrimaryLocation W43792292271 @default.
- W4379229227 hasRelatedWork W2175746458 @default.
- W4379229227 hasRelatedWork W2732542196 @default.
- W4379229227 hasRelatedWork W2760085659 @default.
- W4379229227 hasRelatedWork W2767651786 @default.
- W4379229227 hasRelatedWork W2964383635 @default.
- W4379229227 hasRelatedWork W2982947611 @default.
- W4379229227 hasRelatedWork W2995914718 @default.
- W4379229227 hasRelatedWork W3093612317 @default.
- W4379229227 hasRelatedWork W4225852842 @default.
- W4379229227 hasRelatedWork W564581980 @default.
- W4379229227 hasVolume "15" @default.
- W4379229227 isParatext "false" @default.
- W4379229227 isRetracted "false" @default.
- W4379229227 workType "article" @default.