Apr 17, 2019 · In this paper we perform image resizing in feature space where the deep layers of a neural network contain rich important semantic information.
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Apr 27, 2021 · In this paper we perform image resizing in feature space using the deep layers of a neural network containing rich important semantic ...
In this paper we perform image resizing in feature space using the deep layers of a neural network containing rich important semantic information. We directly ...
This novel approach leverages the hierarchical encoding of the network, and in particular, the high-level discriminative power of its deeper layers, ...
In this paper we perform image resizing in feature space using the deep layers of a neural network containing rich important semantic information. We directly ...
Jun 29, 2021 · Resizing images is a critical preprocessing step in computer vision. Principally, our machine learning models train faster on smaller images.
In this paper we perform image resizing in feature space using the deep layers of a neural network containing rich important semantic information. We directly ...
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Dec 5, 2022 · The input image is of size 5000x90, which is very wide. Resizing this very wide image into 224x224 has 2 major problems.
Missing: Reconstruction | Show results with:Reconstruction
This work aims to develop a reconstruction algorithm suited for live-cell STORM imaging, and the important contributions are twofold.
With deep learning, image reconstruction restores and creates high-quality images from incomplete, noisy, or low-resolution input data.