You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It seems that you calculate the pair-level recall instead of the scene-level recall, but in the methods you compared with such as D3Feat or PREDATOR, the metric recall is calculated in scene-level but not in pair-level.
Could you give some hints about it?
The text was updated successfully, but these errors were encountered:
@qsisi That's indeed a very good point which I did not noticed previously. Yes the pair-level RR is used in our Repo. I re-evaluated Predator's model using the pair-level RR it got: 91.7/62.5 on 3DMatch/3DLoMatch.( i.e. 1.1% increased in 3DMatch). We will update the paper and clarify this.
Hello! Thanks for open-sourcing this great work, here I got a question about the registration recall reported in the article.
From the code :
lepard/lib/tester.py
Line 119 in bcae7f2
It seems that you calculate the pair-level recall instead of the scene-level recall, but in the methods you compared with such as D3Feat or PREDATOR, the metric recall is calculated in scene-level but not in pair-level.
Could you give some hints about it?
The text was updated successfully, but these errors were encountered: