facebookresearch / facebookresearch/cowtracker
Patch Embedding Weights
- Dominant language
- Python
- Stars
- 182
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
Love the work!
I noticed that the patch embedding weights for the vggt backbone in the provided cowtracker checkpoint are different from the patch embedding weights I get when I use VGGT.from_pretrained("facebook/VGGT-1B"). I see the paper says you guys froze the patch embedding layers and only fine tuned other parts. Did you guys use a different VGGT checkpoint?
Thanks!
Contributor guide
Research direction
Start by comparing the patch embedding weights in the provided cowtracker checkpoint with those produced by VGGT.from_pretrained("facebook/VGGT-1B"). Review the paper's statement that patch embedding layers were frozen and determine whether a different VGGT checkpoint was used; done means documenting the checkpoint provenance and explaining the weight difference.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100