Mar 9, 2023 · In this paper, we first analyze this phenomenon from two kinds of toy experiments and conclude that the amount of feature information contained in the GAN ...
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation ... Authors: Xingzhe Su; Wenwen Qiang; Jie Hu; Changwen Zheng ...
This paper proposes two innovative adjustment schemes, namely Uniformity Regularization and Entropy Regularization, to increase the information learned by ...
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This study identifies a previously overlooked issue: GANs exhibit a heightened susceptibility to overfitting on remote sensing images. To address this challenge ...
Special Issue on Multimodal Learning. Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Xingzhe Su; Wenwen Qiang ...
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. 132(11): 5192-5216 (2024). [j8]. view.
This paper addresses the challenge of generating Counterfactual Explanations (CEs), involving the identification and modification of the fewest necessary ...
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation · Xingzhe Su,; Wenwen Qiang,; Jie Hu,; + 3. Pages 5192–5216https ...
Jun 17, 2024 · Using the GAN to generate a counterfactual for an image, we can use ... and Supervision for High Spatial Resolution Remote Sensing Image Scene.
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Thus, we propose two models: disaster translation GAN can generate disaster images for multiple disaster types using only a single model, which uses an ...