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
Hi, I really like this paper and codes!
The codes are so clean and easy to understand :)
I have a question about ablation results regarding "Multi-view feature aggregation" (Section 3.2.1) in the paper.
The paper says that a global feature, which consists of mean/variance of multi-view features, improves the model's occlusion handling capability against a direct average or max-pooling in a PointNet.
But I cannot find experiments about this in the manuscript and suppl.
Could you give some results for the statement? Or at least some insights!
Many thanks in advance.
The text was updated successfully, but these errors were encountered:
Hi, I really like this paper and codes!
The codes are so clean and easy to understand :)
I have a question about ablation results regarding "Multi-view feature aggregation" (Section 3.2.1) in the paper.
The paper says that a global feature, which consists of mean/variance of multi-view features, improves the model's occlusion handling capability against a direct average or max-pooling in a PointNet.
But I cannot find experiments about this in the manuscript and suppl.
Could you give some results for the statement? Or at least some insights!
Many thanks in advance.
The text was updated successfully, but these errors were encountered: