Although many progressive algorithms exist for efficient encoding of connectivity and geometry, none of these techniques consider the color data in spite of its considerable size. Based on the powerful progressive algorithm from Alliez and Desbrun [All01a], we propose two extensions for progressive ...
With the development of deep learning algorithms in computer vision field (Lei et al., 2021, Zhang et al., 2020a), a great number of change detection methods have been proposed to detect change regions from remote sensing images based on deep learning networks (Yuan et al., 2021, Han et...
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These include the necessity for manual parameter tuning and the reliance on computationally expensive optimization algorithms. Deep learning emerges as a pivotal solution in this context. Owing to their intrinsic flexibility and powerful learning capabilities, deep neural network architectures stand out as ...
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Nowadays,Generative adversarial networks, in short, GAN, are the effective ways to train data forcomputer vision-basedapplications. Moreover, it can be used to create asynthetic datasetto fulfil the requirements. A typical GAN architecture uses two models for training: Generator and Discriminator; ...
individualized propaganda has become the order of the day. Algorithms feed users the information they search for, resulting in personalized information bubbles designed to engage preexisting biases. Much of the news media now functions by monetizing user engagement through t...
We have introduced a novel computer vision pipeline that is dedicated to floorplan image analysis. This pipeline is specifically designed to facilitate energy performance assessment and will be a valuable tool for researchers and practitioners in the field. It integrates advanced technologies, which encom...
and OA, respectively. Compared with the well-performing DASNet algorithm, the MFPF-Net improves 1.2%, 2.8%, 2%, and 0.3% in the four metrics of R, P, F1, and OA, respectively. Compared with the other five widely used algorithms in the table, the proposed method achieves SOTA results....