Sep 14, 2023 · The FAFB consists of a backbone branch and several hierarchical branches. The backbone branch is composed of stacked enhanced pixel attentional ...
Sep 4, 2023 · Numerous experiments have shown that MFFN achieves higher accuracy than other state‐of‐the‐art methods on benchmark test sets.
A novel, lightweight SISR network focusing on speed and accuracy, called the multi‐path feedback fusion network (MFFN), has been designed in this paper, ...
The FAFB consists of a backbone branch and several hierarchical branches. The backbone branch is composed of stacked enhanced pixel attentional blocks (EPAB), ...
Feb 15, 2023 · Deep convolutional neural networks can effectively improve the performance of single-image super-resolution reconstruction.
Feb 15, 2024 · This study presents a breakthrough in super-resolution for IoT devices, balancing high-quality image reconstruction with the limited resources of these devices.
Nov 9, 2020 · A novel lightweight super resolution network is proposed, which improves the SOTA performance in lightweight SR and performs roughly similar to computationally ...
Missing: MFFN: feedback fusion
Feb 15, 2023 · Deep convolutional neural networks can effectively improve the performance of single-image super-resolution reconstruction.
MFFN: Multi-path feedback fusion network for lightweight image super resolution. Lixia Xue, JunHui Shen, Ronggui Wang, Juan Yang. 2023, IET Image Processing. A ...
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Jan 25, 2022 · Abstract. Single infrared (IR) image super-resolution methods can help to reduce the cost and dif- ficulty in manufacturing IR sensors for ...