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wywu / LAB

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm
https://wywu.github.io/projects/LAB/LAB.html
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Question regarding your Inter-pupil normalization scheme #15

Open protossw512 opened 6 years ago

protossw512 commented 6 years ago

Hi, when I was evaluating my algorithm based on Inter-ocular Normalisation similar to the matlab code provided by 300W official evaluation code, I got ~ 3.30% on accuracy, which is better than the result you reported in your paper, but when I was trying to evaluate by Inter-pupil Normalization, I can only get 4.30%, which is worse than the result you reported in your paper. I thing I might have something wrong with Inter-pupil normalization. As I posted in Here, I calculated inter-ocular distance for each face using average position of 6 points around each eye.

Could you please provide some details on how did you get Inter-ocular NME? It would be great if you could share a short piece of code as well.

Thank you so much.

jimmysue commented 6 years ago

@protossw512 I encounter the same problem as yours! The ratio between inter-pupil and inter-occular is around 0.71 as I estimated! Whats more this paper meets the ratio！ see http://openaccess.thecvf.com/content_ECCV_2018/papers/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.pdf

wywu commented 5 years ago

Hi, We are sorry that some details are missed in our original version of the paper. The inconsistency is caused by the different stacks of hourglass are used in the model. We have updated the results in Table. 1 in this version: https://wywu.github.io/projects/LAB/support/LAB.pdf. We will upload it to Arxiv later.

jmbuena commented 3 years ago

I think you have forgotten to update the Arxiv version of the paper.