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As mentioned before, the feature fusion is an efficient step in scene understanding. We proposed to combine between the outputs of CNN algorithm, where the final features can effectively represent the scene images
Update : 2025-02-28 Size : 21kb Publisher : lmcice

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We employ the pretrained deep CNN models for VHR images scene classification, where we used VGG-Net as the feature extractor by selecting useful layers in order to get a good representation of the images scene.
Update : 2025-02-28 Size : 3kb Publisher : lmcice

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CNN is one of the most successful deep learning methods due to its remarkable performance on ImageNet large-scale visual recognition competition. The success of CNN is due to its capacity to learn hierarchical representa
Update : 2025-02-28 Size : 165kb Publisher : lmcice

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a hybrid deep convolutional neural network (CNN) for vehicle detection from satellite images. And the research in [13] introduced the stacked autoencoder to extract spatial informative features for hyperspectral images c
Update : 2025-02-28 Size : 900kb Publisher : lmcice

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UDP communication, including client and server-side program, protest available and configure the IP port
Update : 2025-02-28 Size : 39kb Publisher : ERHUO

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Update : 2025-02-28 Size : 92kb Publisher : HOAU%21874

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Update : 2025-02-28 Size : 104kb Publisher : Chaxel

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Update : 2025-02-28 Size : 45kb Publisher : Chaxel

Driver installazione Prolific PL2303
Update : 2025-02-28 Size : 2.26mb Publisher : eliott

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The source code of WAP online swimming
Update : 2025-02-28 Size : 2.04mb Publisher : wap丶

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Update : 2025-02-28 Size : 3kb Publisher : xudreh

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vpi photonics file for raman scattering
Update : 2025-02-28 Size : 36kb Publisher : vinodbajaj
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