Comments (3)
Hi San,
By variation of results, do you mean the variation of evaluation metrics? If so, how big is the variation? Also, which table are you trying to reproduce?
Cheers,
Yufeng
from sted-gaze.
Hi, Thank you for your quick response.
I was about to reproduce Table 2. For example, in the case of gaze redirection, the difference between the first and second trials is about 0.6. Is the results are reasonable?
Thank you
from sted-gaze.
Hi,
Table 2 in the main paper is only based on 1 training trial.
But if you go to table 1 in the supplementary material, you can see that the gaze redirection error is below 2.4 even when the loss weights are not optimal, and we didn't cherry-pick experiment trials. So I think a difference of 0.6 is a bit big (I assume that you are talking about our final method, not the ablation ones in the first three rows of table 2, main paper.)
Cheers,
Yufeng
from sted-gaze.
Related Issues (13)
- Preprocessing dataset HOT 2
- Generating images with random gaze directions HOT 1
- Gettng high gaze_redirection loss HOT 1
- How to run with pre-trained model? HOT 1
- Can I get the source codes to process the 'Columbia' and 'EYEDIAP' dataset?
- Can I get 'PerceptualSimilarity' file? HOT 1
- suplementary files HOT 4
- problem when running your train/eval scripts HOT 1
- PerceptualSimilarity HOT 4
- There appears to be a few errors in the names of some items from eval.json HOT 1
- Encoder weights not saved HOT 4
- About functional loss HOT 1
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from sted-gaze.