McGAN: mean and covariance feature matching GAN. In Proceedings of the International Conference on Machine Learning, 2017.Y. Mroueh, T. Sercu, and V. Goel. McGan: Mean and Covariance Feature Matching GAN. In D. Precup and Y. W. Teh, editors, International Conference on Machine Learning (...
title={McGan: Mean and Covariance Feature Matching GAN}, author={Mroueh, Youssef and Sercu, Tom and Goel, Vaibhava}, journal={arXiv: Learning}, year={2017}}概利用均值和协方差构建IPM, 获得相应的mean GAN 和 covariance gan.主要内容IPM:dF...
Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching - hvy/chainer-gan-denoising-feature-matching
Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency 良好的特征匹配:实现准确、鲁棒的低延迟VO/VSLAM 论文:https://arxiv.org/abs/2001.00714 代码: 单目https://github.com/ivalab/GF_ORB_SLAM 双目https://github.com/ivalab/gf_orb_slam2 摘要 —在VO或VSLAM系统中保持性能(精确...
SuperGlue: Learning Feature Matching with Graph Neural Networks 个人感受: 这个是继SuperPoint 后该组又一次推进,感觉效果更加强了,如果superpoint只是在尝试学习传统方法的流程,LFNet end-to-end training就在benchmark上超越了SIFT,近来CVPR19的D2Net 就直接跳出了传统方法... ...
OpenCV里有很多的feature,建立和使用方法也比较杂,现在整理一下避免以后用到。 1、detector 统一的定义方式: Ptr detector = FeatureDetector::create("STAR"); "FAST" – FastFeatureDetector "STAR" – StarFeatureDetector "SIFT" – SIFT (nonfree module) ...
The instability in GAN training has been a long-standing problem despite remarkable research efforts. We identify that instability issues stem from difficulties of performing feature matching with mini-batch statistics, due to a fragile balance between the fixed target distribution and the progressively ...
Adversarial feature matching for text generation. 2017 在GAN目标中加入重构特征损失,而本文判别器无需学习,特征匹配基于词级别而不是句子级别。 Seqgan: Sequence generative adversarial nets with policy gradient. 2017 Maximum-likelihood augmented discrete generative adversarial networks. 2017 ...
This equation depends on matching reference vectors for training classes and assigned patterns. The reference vector travels closer to the training pattern; otherwise, it goes further away. The learning rate controls all these reference vector movements. In this study, each expression has an equal nu...
Local feature matching has been a critical task in computer vision applications. In the early days of computer vision, local feature matching relied heavily on detector-based methods, where keypoint detectors were used to extract and describe the salient features of an image. However, with the ad...