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Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
Furthermore, we propose an artful strategy to forge a cognition-base map and cognition-scissors from clustered feature maps.
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network
For standard convolutional neural networks (CNNs), class activation mapping (CAM) methods are commonly used to visualize the connection between CNN's decision and image region by generating a heatmap.
Analytical Interpretation of Latent Codes in InfoGAN with SAR Images
In this paper, we show that latent codes are disentangled to affect the properties of SAR images in a non-linear manner.
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