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EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Nevertheless, it encounters challenges related to ill-posed problems, resulting in deviations between single model predictions and ground-truths. Ensemble learning, as a powerful machine learning technique, aims to address these deviations by combining the predictions of multiple base models.
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- Asia > China > Beijing > Beijing (0.04)
- Asia > China > Guangdong Province > Shenzhen (0.04)
- North America > United States (0.04)
- Europe > France (0.04)
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Country:
- North America > United States (0.04)
- Europe > Netherlands > North Holland > Amsterdam (0.04)
- Europe > Germany > Lower Saxony > Gottingen (0.04)
Technology:
- Information Technology > Sensing and Signal Processing > Image Processing (1.00)
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
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The Supplementary Materials of the Main Paper Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
A three-Dimensional Look-up Table (3D LUT) is often used to transform one set of colors into another.
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Technology:
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia
In this paper, we propose a generative multi-column network for image inpainting.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.83)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.46)