Comments (1)
I'm very sorry for the inconvenience caused. MN40: 66.8% and MN10: 81.6% were zero-shot tested on the complete ModelNet dataset (i.e., train+test), but the more appropriate comparison should actually be done only on the test set. We have made the necessary corrections in the latest arXiv paper version and on the Leaderboard.
Also, we noticed your previous issue and have uploaded ModelNet10 to Google Drive for you to use.
We sincerely appreciate your interest in our work!
from recon.
Related Issues (16)
- About source code HOT 3
- How to download the ModelNet_10 dataset HOT 1
- In zero-shot classification on ScanObjectNN, are all dataset (i.e., train+test) or just test dataset used? HOT 1
- how to render image using MacOS Preview from 3D CAD HOT 2
- Unknown args and configs in the given logs HOT 2
- About reproducing the experiment result HOT 2
- The pretrain ckpts choice for classification and segmentation task HOT 2
- Zero-shot classification of ModelNet40 HOT 1
- About pretain logs file HOT 2
- how to pretrain the Point-MAE† (not the Point-MAE)in the Table 1, and the architecture of the Point-MAE† HOT 2
- About ShapeNet55/34 Dataset HOT 2
- about experiment result HOT 7
- hello,how I run my own dataset? HOT 4
- Wonderful work!,Everytime I run this code "ping unknown host"appears HOT 2
- I ran into a problem HOT 1
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from recon.