VID2015 and Center loss
- Dominant language
- MATLAB
- Stars
- 222
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
Thank you for great job.
I have few questions:
1. In the previous version DCFNet trained on uav123, nus-pro and tc-128.
the current one is defined to VID2015, why?
2. Why you don't use the CenterLoss loss anymore? Why in the first place the CenterLoss don't propagate(only forward but no backward)?
Thank you
Contributor guide
No contributing guide indexed for this repository
Research direction
Compare the earlier DCFNet training setup for UAV123, NUS-PRO, and TC-128 with the current VID2015 setup. Then trace how CenterLoss is used in the repository, including its forward and backward behavior; done means documenting clear answers to both questions, with the relevant entry points identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- matlab
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100