Adversarial PoseNet

时间 2020-12-30

标签 GAN 姿态检测繁體版

原文原文链接

论文题目：Adversarial PoseNet: AStructure-aware Convolutional Network for Human PoseEstimation 出处：ICCV 2017 主要贡献： 1、我们设计了一种新颖的人体姿态估计网络框架，它考虑了人类关节连接性的几何约束。通过将人体的先验知识整合在一起，可以大大减少因遮挡和杂乱的背景而引起的预测错误。即使网络失败了，网

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1. Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
2. 在Mac上运行TensorFlow.js的PoseNet demo
3. [advGAN]Generating Adversarial Examples With Adversarial Networks
4. Generating Adversarial Examples with Adversarial Networks
5. Adversarial Autoencoder
6. Adversarial Perturbations
7. CS231n Lecture 16 | Adversarial Examples and Adversarial Training
8. Generating Adversarial Examples with Adversarial Networks阅读笔记
9. Adversarial Auto-Encoders
10. Conditional Generative Adversarial Nets
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1. Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
2. 在Mac上运行TensorFlow.js的PoseNet demo
3. [advGAN]Generating Adversarial Examples With Adversarial Networks
4. Generating Adversarial Examples with Adversarial Networks
5. Adversarial Autoencoder
6. Adversarial Perturbations
7. CS231n Lecture 16 | Adversarial Examples and Adversarial Training
8. Generating Adversarial Examples with Adversarial Networks阅读笔记
9. Adversarial Auto-Encoders
10. Conditional Generative Adversarial Nets

>>更多相关文章<<