paplhjak / Facial-Age-Estimation-Benchmark

Comparative Analysis of Deep Learning Approaches for Facial Age Estimation. Accepted to CVPR 2024
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Missing config files for other methods #20

Closed caiopetruccirosa closed 1 month ago

caiopetruccirosa commented 1 month ago

Hello! First of all, thank you very much for the paper.

I am trying to reproduce all the results reported in Table 6 of the paper for my research. However, after reviewing the YAML config files for the experiments, I found that there is only one base experiment provided for each benchmark. This does not cover all nine experiments listed in the sub-rows of Table 6 (Cross-Entropy, Regression, OR-CNN, DLDL, DLDL-v2, SORD, Mean-Var., Unimodal, FaRL + MLP).

From what I understand, the experiment config provided in the repository only corresponds to the ResNet50 model pre-trained on ImageNet with a Cross-Entropy loss head.

@paplhjak, could you please provide the experiment config files for all methods and weight initialization strategies (IMDB-WIKI, ImageNet, and Random) mentioned in the paper?

Thanks in advance!

paplhjak commented 1 month ago

From what I understand, the experiment config provided in the repository only corresponds to the ResNet50 model pre-trained on ImageNet with a Cross-Entropy loss head.

Yes.

@paplhjak, could you please provide the experiment config files for all methods and weight initialization strategies (IMDB-WIKI, ImageNet, and Random) mentioned in the paper?

I will look into it.

caiopetruccirosa commented 1 month ago

Thank you very much! I am looking forward to it.

paplhjak commented 1 month ago

I have some more pressing things to work on this week, but if all goes well, you can expect the files to get added next week.

paplhjak commented 1 month ago

The configuration files will be added by the end of the week.

paplhjak commented 1 month ago

The files can now be found in facebase/configs

caiopetruccirosa commented 1 month ago

Thank you very much!