However, existing GAN-based anomaly score methods built upon the generator network are designed for data synthesis, which would get unappealing performance on the anomaly detection task. Therefore, their low-efficient and unstable performance make detection tasks still quite challenging. To cope with ...
【英文在线研讨会】Deep Trans in GaN-based Materials | 苏黎世仪器 Zurich Instruments 是在优酷播出的科技高清视频,于2023-12-12 12:20:52上线。视频内容简介:In his talk, Dr Piotr Kruszewski presents the results of deep traps analysis by DLTS-related technique
To solve the problems such as obvious speckle noise and serious spectral distortion when existing fusion methods are applied to the fusion of optical and SAR images, this paper proposes a fusion method for optical and SAR images based on... X Peng - 《Remote Sensing》 被引量: 0发表: 2021...
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Fig. 5. Visualization of different methods on UC Merced dataset. From (a) to (e) are x2, x3, x4, x8 and x9 SR results, respectively.2. Super-Resolution on Other Multispectral ImagesFig. 8. 3-time super-resolution results of different methods on GaoFen-2 remote sensing image....
With various methodsdeveloped, high-f idelity turbulence data can be eff iciently generated for aerodynamic simulations and other scientif icapplications. For instance, direct numerical simulation (DNS) has been extensively applied in the CFD f ield to simulatea variety of turbulent f l ows ...
Traditional dataset expansion methods create slightly edited copies of the existing training data by applying one or more traditional transformations, such as rotation, translation, flipping, sharpening, and color changing. These methods are simple, easy to implement, and save disk space in real-time...
many teams have adopted an approach that combines agile methods with Model-Based Design. An examination of Model-Based Design and agile methods shows that Model-Based Design complements and even enables agile for engineering applications. Like Agile, Model-Based Design originated to support f...
The existing Zero-Shot learning (ZSL) methods may suffer from the vague class attributes that are highly overlapped for different classes. Unlike these methods that ignore the dis- crimination among classes, in this paper, we propose to clas- sify unseen image by rectifying the semantic space gu...
We also experimented with other semantic segmentation models as well as patch-based deep learning methods for performance comparison. The results show that our method provides more accurate segmentation than the state-of-the-art techniques. 展开 关键词: Semantic Segmentation Image-to-image Translation ...