Comments (3)
Hi,
We have used two GPUs for training the teacher, and just one for the student.
Let me know if this solves the problems you are dealing with.
A.
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Thanks. And two GPUs working for teacher network. And the results are:
I2V
top1:81.67% top5:92.12% top10:93.64% mAP:73.68%
V2V
top1:88.28% top5:96.31% top10:97.12% mAP:81.05%
from vkd.
Oh, good, the results you have achieved are comparable with the ones discussed in our paper.
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Related Issues (18)
- About training and testing details HOT 5
- Structure of DukeMTMC-VideoReID HOT 1
- How to run it on custom video?? HOT 1
- About multi-camera Multi-shot test HOT 6
- RuntimeError: result type Long can't be cast to the desired output type Bool HOT 2
- eval.py size mismatch(distill(student) part)
- Heatmap code? HOT 1
- Animal Re-ID Details HOT 3
- Error on training: stack expects a non-empty TensorList HOT 5
- About trained models HOT 4
- Checkpoint zip is broken HOT 2
- inputs HOT 1
- what is the meaning of several parameters? HOT 3
- GPUs required? HOT 4
- which network is used for evaluation? HOT 1
- How to evaluate I2V using one network? HOT 1
- How to conduct cross-architecture transfer? HOT 1
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