Normalizing flow介绍: 生成模型 generative model 的类型 Generative models with tractable explicit density 值的是 p(x) 可以直接计算出来,包括了大部分auto regressive model (NADE, MADE, PixelRNN/CNN),还包括flow-based model(通过变量替换,用 p(z) 通过变换得到 p(x) ,即 x=T(z) 。
为了拟合一个概率模型,我们要拟合一个flow-based model p_{x}(\mathbf{x};\theta)去近似目标分布p_{x}^{*}(\mathbf{x}),\theta代表(\phi,\psi),\phi和\psi分别是T与p(u)的参数,可以通过最小化KL散度和最大似然估计做到 2.3.1 正向KL散度与最大似然估计 \begin{eqnarray}{} \mathcal{L}(\bold...
具体来说，标准化流利用一系列简单变换的复合，如Flow-based model，这些变换的逆和微分要求满足可乘性。神经网络中的双射函数，如[公式]，按需实现单向或双向映射，构建出流模型。核心是寻找一个可逆且雅可比行列式易于计算的变换，通常通过优化为三角矩阵来简化计算。与VAE和GAN相比，标准化流的优势在于...
Here we describe a certain choice of training and network architecture that allows to incorporate all these properties into a single network model. We show that a KL-divergence objective of the joint distribution of data and labels allows to unify supervised learning ...
The second part is a multi-layer perceptron with 2 layers that further maps that internal representation to the respective flow parameters {\bar{F}}. The process is illustrated in Fig. 3 c. The generative model used in Sect. 8 uses label and latent variables as an input to an MLP that...
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj KumarMohammad BabaeizadehDumitru Erhan...Durk Kingma Mar 2019 Generative models that can model and predict sequences of future events can, in principle, learn to capture complex real-world phenomena, such as physical inte...
This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link:https://arxiv.org/abs/2010.00029 computer-visiongenerative-modelrepresentation-learningsparse-codinghierarchical-modelsrenormalization-groupnormalizing-flow ...
Many AE-based methods use explicit motion information with a pre-trained network such as an optical flow network [2], [3], pose estimator [4]. However, explicitly separating information forces inductive bias into the network and makes it dependent on the pre-trained model. This can degrade ...
Step 2: Place model_final.pth in the exact same folder where the trained models gets saved for the training procedure. Example: For the pre-trained model of PASCAL-VOC, you need to place the model at /path/to/Flow-Feature-Synthesis/detection/data/VOC-Detection/faster-rcnn/regnetx/random_...
Medical Encyclopedia Related to normalizing:tempering nor·mal·ize (nôr′mə-līz′) v.nor·mal·ized,nor·mal·iz·ing,nor·mal·iz·es v.tr. 1.To make normal, especially to cause to conform to a standard or norm:normalize a patient's temperature; normalizing relations with a former...