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Refining Architectures of Deep Convolutional Neural Networks

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Academic year: 2021

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Figure

Figure 2. Inception Module of GoogleNet [21] : The incep- incep-tion module is an intrinsic component of the GoogleNet architecture.
Figure 3. Datasets and Classes: The figure shows the classes present in the SUN Attributes Dataset (SAD) as considered in [19] and CAMIT- CAMIT-NSAD dataset [19]
Figure 4. Correlation Matrices for 8 Convolutional Layers of VGG-11 trained on SAD and CAMIT-NSAD : Traversed row-wise, correlation matrices C l : l ∈ {1,
Figure 5. Results and Comparisons : The figure shows results on SAD and CAMIT-NSAD with VGG-11 and GoogleNet using our approach and various other baselines

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