Furthermore, we notice that the input image's resolution has a non-negligible impact on an adversary's success in deceiving a learning model. Finally, by comparing the performance of the threatened networks under analysis, we show how they can benefit from a cross-resolution training approach ...
We aim to isolate the first factor, which is also known as the cross-resolution problem, for image quality assessment. To this end, we created a first-of-its-kind dataset that provides a reliable benchmark for cross-resolution IQA. By resolution we mean logical image size in pixels (cf....
Nevertheless, image resolution variability is not usually discussed, which may lead to a resizing of 256 pixels. While specific datasets for very low-resolution faces have been proposed, less attention has been paid on the task of cross-resolution matching. Hence, the discrimination power of a ...
However, most existing person ReID methods pay little attention to this resolution discrepancy problem. One paradigm to deal with this problem is to use some complicated methods for mapping all images into an artificial image space, which however will disrupt the natural image distribution and ...
Nevertheless, the lack of high-resolution labeled data is still a challenge, hindering the largescale application of land cover classification methods. In this paper, we propose a Transformerbased weakly supervised method for cross-resolution land cover classification using outdated data. First, to ...
Here, we provide the pytorch implementation of the paper: Continuous Cross-resolution Remote Sensing Image Change Detection. For more ore information, please see our published paper at IEEETGRSorarxiv. The pipeline of our proposed scale-invariant learning with implicit neural networks for remote sensi...
We name this problem as Cross-Resolution Person Re-identification which brings a great challenge for matching correctly. In this paper, we propose a Deep High-Resolution Pseudo-Siamese Framework (PS-HRNet) to solve the above problem. Specifically, in order to restore the resolution of low-...
解释什么是cross-module reference resolution error(跨模块引用解析错误) 跨模块引用解析错误(Cross-module Reference Resolution Error)通常发生在软件开发过程中,当不同模块之间存在相互引用时,但由于某些原因(如路径错误、编译顺序问题、模块未正确导出等),编译器或解释器无法正确解析这些引用,从而导致的错误。这种错误通...
Cross-resolution image alignment is a key problem in multiscale gigapixel photography, which requires to estimate homography matrix using images with large resolution gap. Existing deep homography methods concatenate the input images or features, neglecting the explicit formulation of correspondences between...
In this paper, for cross-resolution face matching with pose variations, we presented an approach named multilayer locality-constrained structural orthogonal Procrustes regression (MLCSOPR). The proposed MLCSOPR not only learns the pose-robust discriminative representation features to reduce the resolution ...