筆記-Handheld multi-frame super-resolution之一
1、文中反復強調的 Handheld Motion in subpixel Space 意在何處？ 1）首先，超分辨的是指由一幅低分辨率圖像或一組圖像序列恢復出高分辨率圖像的技術。Essential ...
原文：論文速覽：MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
MFQE . : A New Approach for Multi frame Quality Enhancement on Compressed Video 目錄 MFQE . : A New Approach for Multi frame Quality Enhancement on Compressed Video . 要點 . 壓縮視頻特性分析 . 質量波動 . 幀間相關性 . 方法 . ...
2019-09-29 22:59 2 1033 推薦指數：
相關推薦
語音降噪論文“A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier”的研讀
最近認真的研讀了這篇關於降噪的論文。它是一種利用混合模型降噪的方法，即既利用了生成模型（MoG高斯模型），也利用了判別模型（神經網絡NN模型）。本文根據自己的理解對原理做了梳理。 論文是基於“Speech Enhancement Using a Mixture-Maximum Model ...
論文翻譯：2020_A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement
網上已經有很多人翻譯了，但我做這工作只是想讓自己印象更深刻 文章方向：語音增強 論文地址：基於DSP/深度學習的實時全頻帶語音增強方法 博客地址：https://www.cnblogs.com/LXP-Never/p/15144882.html 論文代碼：https ...
論文翻譯：2021_PercepNet：A Perceptually Motivated Approach for Low-complexity, Real-time Enhancement of Fullband Speech
Approach for Low-complexity, Real-time Enhancement o ...
論文筆記之：Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach 2017.11.28 Introduction： 人臉屬性的識別在社會交互，提供了非常廣泛的信息，包括 ...
論文解讀（BYOL）《Bootstrap Your Own Latent A New Approach to Self-Supervised Learning》
論文標題：Bootstrap Your Own Latent A New Approach to Self-Supervised Learning 論文方向：圖像領域 論文來源：NIPS2020 論文鏈接：https://arxiv.org/abs/2006.07733 論文代碼 ...
[論文理解] Bootstrap Your Own Latent A New Approach to Self-Supervised Learning
Bootstrap Your Own Latent A New Approach to Self-Supervised Learning Intro 文章提出一種不需要負樣本來做自監督學習的方法，提出交替更新假說解釋EMA方式更新target network防止collapse的原因 ...
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition ICCV 2019 (oral) 2019-08-01 15:08:19 Paper ...