In this study, a novel deep perceptual patch generative adversarial network (FDPPGAN) was proposed to solve the pan-sharpening problem. First, a perception generator was constructed, it included, a matching module, which can process as input images of different resolutions, a fusion module, a ...
In particular, the DNN structure known as generative adversarial network (GAN) (Goodfellow et al., 2014). For instance, Zhu et al. (2018b) propose convolutional-based GAN1D and GAN3D architectures to learn the intrinsic characteristics of HSI data, enhancing the classification performance achieved...
DCGANs stabilzed the performance of GANs andshows the generator have vector arithmeric properties(向量运算性质).生成器具备了“向量运算”的神奇性质,类似于word embedding可以操纵向量,并且能够按照“语义”生成新内容。 Adversarial nets offer perceptual metrics(感知指标) that allow AEs to be trianing effcienc...
A distressed structure first shows its signs on its surface in the form of cracks that need to be continuously monitored and addressed to prevent any further damage or collapse leading to loss of lives. With this objective, several studies and proposals have been put forward by various researcher...
In the classification phase, we propose a CAM-based model to generate pseudo masks by patch-level labels. In the segmentation phase, we achieve tissue semantic segmentation by our propose Multi-Layer Pseudo-Supervision. Several technical novelties have been proposed to reduce the information gap ...
Blindside pits a team of attackers versus a team of defenders in an objective-based mode that sees the attackers tasked with completing three objectives, while a team of defenders goes all-out to stop them. The attackers can complete the first two objectives in any order, while the third ob...
In this study, a novel deep perceptual patch generative adversarial network (FDPPGAN) was proposed to solve the pan-sharpening problem. First, a perception generator was constructed, it included, a matching module, which can process as input images of different resolution...
GENERATIVE adversarial networksTRANSFORMER modelsARTIFICIAL intelligenceIn response to the rapid advancements in facial manipulation technologies, particularly facilitated by Generative Adversarial Networks (GANs) and Stable Diffusion-based methods, this paper explores the critical issue of ...
A distressed structure first shows its signs on its surface in the form of cracks that need to be continuously monitored and addressed to prevent any further damage or collapse leading to loss of lives. With this objective, several studies and proposals have been put forward by various researcher...
We perform experiments to evaluate whether the proposed SSIM-based autoencoder method is useful in the defense against adversarial patch attacks in traffic signs. The proposed defense method for traffic sign detection does not require large computational costs, and it retrains the weight-fixed object...