Showing 521 - 540 results of 557 for search '"AlexNet"', query time: 2.11s Refine Results
  1. 521
    by Mei-Yi Wu, Jia-Hong Lee, Chuan-Ying Hsueh
    Published 2021-04-01
    ... of 99.11% on food recognition, but it requires the most training and recognition time. AlexNet model...
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  2. 522
    ... entropy. Then, three high representative CNN models, i.e., AlexNet, DenseNet, and SE_Inception_v4 were...
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  3. 523
    .... Furthermore, AlexNet is used for dimensionality reduction and extracting useful information from electricity...
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  4. 524
    ... accuracies for AlexNet and Resnet-18 using the proposed quantization scheme for the 8-bit range. Our proposed...
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  5. 525
    ... proposed method outperforms other single deep learning methods (i.e., AlexNet, VGG19, GoogleNet, InceptionV...
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  6. 526
    ... intensive layers. We implemented modified LeNet, CIFAR-10 full, ConvNet processor (CNP), MPCNN, and AlexNet...
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  7. 527
    by Shah, Prasham
    Published 2021
    ... an image or a video stream. After AlexNet won the ILSVRC in 2012, there was a drastic increase in research...
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  8. 528
    ... models: InceptionResNetV2, Xception, SqueezeNet, VGG16, and AlexNet. The results show that the use...
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  9. 529
    .... First, the images were trained with three convolutional neural networks, AlexNet, ZFNet, and VGG16...
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  10. 530
  11. 531
    ...%; this outperformed AlexNet and VGG-16. The M-bCNN demonstrated accuracy gains with a convolutional kernel matrix...
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  12. 532
    ... and AlexNet, the convolution neural network model proposed in this paper has better performance. Finally...
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  13. 533
    .... The classic models (AlexNet, VGG16 and ResNet18) were also used for training and testing, and their results...
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  14. 534
    ..., compared with other well-known DCNNs, such as GoogLeNet, Inception V3, ResNet50, and AlexNet, the optimized...
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  15. 535
    .... Compared to predefined classification architectures such as AlexNet, ResNet or ad hoc architectures with a...
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  16. 536
    ... preprocessed to eliminate background noises to improve recognition accuracy. The AlexNet model parameters...
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  17. 537
  18. 538
  19. 539
    ... consumes 278 mW at 34.7 fps for the CONV layers of AlexNet, which is 10x more efficient than a mobile GPU...
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  20. 540
    ... the development of CNNs architectures together with their main features, e.g., starting with the AlexNet network...
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