8000 GitHub - wayyeah/CMD-xmuda: A dataset specifically designed for cross-mechanism domain adaptation, incorporating mechanical LiDARs with both high-res and low-res beams, solid-state LiDAR, and 4D millimeter-wave radar.(ECCV 2024))
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

A dataset specifically designed for cross-mechanism domain adaptation, incorporating mechanical LiDARs with both high-res and low-res beams, solid-state LiDAR, and 4D millimeter-wave radar.(ECCV 2024))

License

Notifications You must be signed in to change notification settings

wayyeah/CMD-xmuda

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection(ECCV2024)

A dataset specifically designed for cross-mechanism domain adaptation, incorporating mechanical LiDARs with both high-res and low-res beams, solid-state LiDAR, and 4D millimeter-wave radar.

https://github.com/im-djh/CMD.git

About

A dataset specifically designed for cross-mechanism domain adaptation, incorporating mechanical LiDARs with both high-res and low-res beams, solid-state LiDAR, and 4D millimeter-wave radar.(ECCV 2024))

Resources

License

< 55FC a href="#Apache-2.0-1-ov-file" class="Link--muted" data-analytics-event="{"category":"Repository Overview","action":"click","label":"location:sidebar;file:license"}" > Apache-2.0 license

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published
0