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MAC-VO: Metrics-Aware Covariance for Learning-based Stereo Visual Odometry TL;DR: learning-based stereo; learned metrics-aware matching uncertainty for dual purposes: selecting keypoint and weighing the residual in pose graph optimization.

Alexandre Morgand

1,807 subscribers

17,367 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

7 条评论

Alexandre Morgand 的头像

Alexandre Morgand1 年前

*1, @YutianChen03 *1, Zihao Zhang 2, Wenshan Wang 1, @smash0190 1 *Equal Contribution 1 Carnegie Mellon University 2 Shanghai Jiao Tong University

Rerun 的头像

Rerun1 年前

Looking good!

Rainmaker 的头像

Rainmaker2 年前

Join me as I put several Machine Learning models head-to-head to see which one can beat the market and deliver strong returns. In this free Substack post I share several models that deliver better returns with much lower drawdown compared to Buy-and-Hold approach.

Yuheng Qiu 的头像

Yuheng Qiu1 年前

Thank you for sharing! Check our website:

Alexandre Morgand 的头像

Alexandre Morgand1 年前

Reputting the link again as they failed :( Project page: Paper: Source code coming end of may: Group project page:

gfodor.id 的头像

gfodor.id1 年前

very nice work

Lord Welt Meister 的头像

Lord Welt Meister1 年前

What is the meaning of Metrics here?

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