Dec 30, 2021 · In this paper, we propose a new lightweight single image super resolution method termed adaptive cascading attention network (ACAN) to ...
Apr 13, 2023 · To address it, we propose adaptive feature fusion channel attention(AFFCA). Specifically, we use diverse global pooling methods to extract ...
In this paper, we propose a lightweight adaptive cascading attention network (ACAN) for SISR. Our contributions are threefold. First, ACAN can assign different ...
In this paper, we propose a lightweight adaptive cascading attention network (ACAN) for SISR. Our contributions are threefold. First, ACAN can assign different ...
People also ask
What is image super-resolution using neural networks?
What is image super-resolution?
What is image super-resolution in frequency domain?
Is image superresolution helpful for other vision tasks?
A new lightweight SISR algorithm based on CNNs is proposed, which uses multi-path progressive feature fusion and attention mechanism and is better than ...
Jan 18, 2024 · Based on this, IPT [3] makes a successful attempt to exploit the Transformer-based network for various image restoration tasks. Since then, a ...
Inspired by [5, 9, 17, 47], we integrate simple spatial attention (SSA) and gated linear unit (GLU) into the pro- posed GSAU to enable an adaptive gating ...
We propose an end-to-end network that can better handle solar adaptive image anisoplanatism by leveraging attention mechanisms, pixel-wise filters, and cascaded ...
This section provides a brief overview of some related works that are based on deep learning methods, frequency-separated networks, and attention networks. 2.1.
There are works for image super-resolution based on convolutional neural network (CNN). In this paper, we propose an adaptive residual channel attention ...