Comments (1)
Hi,
Thanks for your interest!
- We trained from scratch and no pre-trained model was used. We modified the vanilla version of stack hourglass to obtain much higher performance.
- Yes. However, in our experiments, we find that train the boundary estimator and landmark regressor together end-to-end, and then finetune with GAN can obtain the highest accuracy.
- We have tried to use less channel or use less stacks, however, both of these methods bring some performance degradation. We suggest using less channel rather than cutting stacks.
Best,
Wayne
from lab.
Related Issues (20)
- 你好,请问Boundary Heatmaps的Truth Heatmap我们是怎么打标得到的,而且打标后有经过什么处理? HOT 1
- Hello, I want to evaluate my own model on WFLW, will you release a concise code for a convenient evaluation?(in python or matlab) HOT 1
- want to know how to interpolate HOT 1
- 请问怎么在opencv使用模型文件? HOT 2
- WFLW Ground Truth landmark coordinates doubts
- comment `#pragma omp parallel for num_threads` in tools/alignment_tools.cpp works for me
- make problem HOT 2
- Model comparision HOT 1
- How to modify the other version caffe to the version needed?
- How to compile in windows? HOT 4
- How to transform landmarks to boundary heatmaps.?
- make problem
- Closing-eye data
- 不能单独跑一张图片吗?没找到示例。
- 关于IPN和ION差距的疑问,IPN和ION的测试是同一个模型吗 HOT 2
- Unknown layer type: Interp HOT 1
- Dataset
- Basel face model embedding HOT 1
- It seemed that there are two wrong annotated images in the dataset annotation
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