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Manifold-based Shapley for SAR Recognization Network Explanation
Explainable artificial intelligence (XAI) holds immense significance in enhancing the deep neural network's transparency and credibility, particularly in some risky and high-cost scenarios, like synthetic aperture radar (SAR).
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model
Speckle noise poses a significant challenge in maintaining the quality of synthetic aperture radar (SAR) images, so SAR despeckling techniques have drawn increasing attention.
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.
