Focused Feature Differentiation Network for Image Quality …
To tackle this problem, we propose a focused feature differentiation network (FFDN) to highlight the feature maps with greater distorted and reference differentiation. Furthermore, we use the …
To tackle this problem, we propose a focused feature differentiation network (FFDN) to highlight the feature maps with greater distorted and ref-erence differentiation. Furthermore, we use the …
论文笔记20：FFDNet: Toward a Fast and Flexible ... - CSDN博客
指出基于模型的方法和现有判别去噪方法存在的不足，介绍了FFDNet网络，其通过可调噪声水平映射和下采样算子，实现快速、灵活、鲁棒的去噪。 还进行了多组实验，证明FFDNet在不同 …
GitHub - Rapisurazurite/FFDN: Implementation for Enhancing …
2025年2月6日 · We introduce a Feature Fusion and Decomposition Network (FFDN) that combines a Visual Enhancement Module (VEM) with a Wavelet-like Frequency Enhancement …
论文阅读笔记——《FFDNet Toward a Fast and ... - CSDN博客
2018年12月6日 · FFDNet网络通过将噪声水平图（tunable noise level map）作为输入，使得去噪网络可以对噪声水平更加灵活。 而为了提高去噪网络的效率，将输入图像降采样来处理。 同 …
图像去噪之FFDNet: Toward a Fast and Flexible Solution ... - CSDN …
2023年5月5日 · FFDNet是一种新的深度学习去噪模型，能处理不同噪声水平，包括空间变化的噪声。 它以可调节的噪声水平图作为输入，能有效地平衡降噪与细节保留。 FFDNet在合成及真 …
FFDN/requirements.txt at main · Rapisurazurite/FFDN · GitHub
Implementation for Enhancing Tampered Text Detection Through Frequency Feature Fusion and Decomposition - FFDN/requirements.txt at main · Rapisurazurite/FFDN
FFDN: fused fuzzy deep neural network (PyTorch) - GitHub
This is a re-implemented PyTorch based version of the FFDN which is originally come from the works of "Deng, Y., Ren, Z., Kong, Y., Bao, F., & Dai, Q. (2017). A Hierarchical Fused Fuzzy …
Object Detection in Aerial Images Using Feature Fusion Deep Networks
The intention of this work is to obtain better detection performance in aerial images by designing a novel deep neural network framework called Feature Fusion Deep Networks (FFDN). The …
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