Low Result without pretrained pth
Open
Nobody has claimed this yet.
- Dominant language
- Cuda
- Stars
- 298
- Forks
- 26
- Avg merge
- 22h 44m
- Merged PRs (30d)
- 1
Description
@Yukichiii I applied epochs = 100 // loop = 30 and eval_freq = 2. I get on Area 5 :
- Swin3d-S : 69.76
- Swin3d-L : 69.79
It is possible to provide the log ? For the tests do you use num_vote = 12 ? For training did you change any parameters on relation to code https://github.com/Yukichiii/Swin3D_Task
The result in your paper Swin3D-S | ✗ | 72.5 (without pretrained weight), is obtained with RGB or RGB + Normals.
Thank's
Originally posted by @hpc100 in https://github.com/microsoft/Swin3D/issues/16#issuecomment-1733586979
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the reported Area 5 results and the comparison with the Swin3D_Task repository, then inspect issue #16 for the surrounding context. Reproduce the stated training and evaluation settings, including epochs, loop, eval frequency, and num_vote, and document whether the reported result can be obtained without pretrained weights.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100