Zhang H, Xu T, Li H, Zhang S, Wang X, Huang X, Metaxas DN (2017) Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp 5907–5915 Barrett H (2006) Researching and evaluatin...
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 ...
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 comparison with traditional adversarial stickers or graffiti, these emerging light patches exhibit heightened aggression due to their ease of implementation and outstanding stealthiness. To effectively counter this security threat, we propose a universal image inpainting mechanism, namely, SafeSign. It ...
Supremacy is an objective-based territory control mode. Each team scores points by holding one of 5 capture points. Each capture point will also contain an ‘asset’, such as access to off-board fire support, when held for a prolonged period of time. The winning team is the team with the...
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...
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 ...
Section 2 describes image reconstruction using autoencoders, adversarial patch attacks, Dpatch, and the SSIM. Section 3 explains adversarial patch attacks on object detectors. Section 4 explains image reconstruction using the proposed SSIM-based autoencoder. Section 5 describes the experimental environment...