Very Deep Convolutional Networks for Large-Scale Image Recognition
Citations
639 citations
Cites methods from "Very Deep Convolutional Networks fo..."
...It applies a fullyconvolutional Siamese network to allocate the target in the search region using a modified VGG-16 network [74] as the backbone....
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638 citations
638 citations
637 citations
Cites background or methods from "Very Deep Convolutional Networks fo..."
...We present our SDP model based on VGG16 [32] in Figure 2....
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...We initialize the model parameters of convolutional layers and the fc layers in the SDP 5 with the Image-Net pre-trained model of VGG16 [32]....
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...Multi-scale input scheme fundamentally limits the applicability of very deep architecture like [32] due to memory constraints and additional computational burden....
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...Our CNN model is initialized with a deep network architecture (VGG16 [32]) trained on the ImageNet classification dataset [30]....
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...Thus, at the conv5 layer, there is only one feature for large number of pixels (16 pixels for both AlexNet [18] and VGG16 [32])....
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633 citations
Cites background or methods from "Very Deep Convolutional Networks fo..."
...Following the principle from VGG network (Simonyan and Zisserman, 2014) and deep residual networks (He et al., 2016b), we employ small convolutional kernels (i.e., 1 × 3 × 3 or 3 × 3 × 3) in the convolutional layers, which have demonstrated evident advantages on computation efficiency and…...
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...Previous studies have evidenced that the network depth is of crucial importance on the feature representations (Simonyan and Zisserman, 2014; Szegedy et al., 2015)....
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...Following the principle from VGG network (Simonyan and Zisserman, 2014) and deep residual networks (He et al....
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...processing (Krizhevsky et al., 2012; Simonyan and Zisserman, 2014; Long et al., 2015; Szegedy et al., 2015; Chen et al., 2015c; Ji et al., 2013) and medical image analysis (Prasoon et al....
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...…have emerged as one of the most prominent approaches for image recognition problems in both natural image processing (Krizhevsky et al., 2012; Simonyan and Zisserman, 2014; Long et al., 2015; Szegedy et al., 2015; Chen et al., 2015c; Ji et al., 2013) and medical image analysis (Prasoon et…...
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References
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