[ECCV 2020] DeepGMR: Learning Latent Gaussian Mixture Models for Registration

時間 2021-01-02

標籤點雲點雲配準 ECCV 2020 简体版

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零、概要論文: DeepGMR: Learning Latent Gaussian Mixture Models for Registration tag: ECCV 2020; Registration 代碼: https://github.com/wentaoyuan/deepgmr 作者: Wentao Yuan, Ben Eckar, Kihwan Kim, Varun Jampani,

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1. Gaussian mixture model
2. [Scikit-learn] 2.1 Clustering - Gaussian mixture models & EM
3. GAUSSIAN MIXTURE VAE: LESSONS IN VARIATIONAL INFERENCE, GENERATIVE MODELS, AND DEEP NETS
4. Gaussian Mixture Loss
5. DEEP AUTOENCODING GAUSSIAN MIXTURE MODEL FOR UNSUPERVISED ANOMALY DETECTION
6. [Scikit-learn] 2.1 Clustering - Variational Bayesian Gaussian Mixture
7. Discriminative Embeddings of Latent Variable Models for Structured Data
8. Gaussian Mixture Model 高斯混合模型 GMM
9. 論文閱讀——橢圓檢測 2016 Robust ellipse detection with Gaussian mixture models
10. <Probabilistic Graphical Models>2 Graphical Models in Action

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