GAP-LAB-CUHK-SZ / GAP-LAB-CUHK-SZ/TO-Scene
The accuracy of the TO-Real test set is poor
Open
- Dominant language
- Python
- Stars
- 59
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
I used the pointnet++ model to train the dataset, and tested the val dataset very well. However, when testing the To-real dataset, the accuracy was very low. Can you tell me why ?
thanks!
Contributor guide
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Research direction
Start by reproducing the PointNet++ training and validation results, then run evaluation on the TO-real dataset as described in the issue. Compare the dataset and evaluation conditions to identify the cause of the accuracy gap; done means providing a supported explanation or a reproducible correction.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100