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Thank you for your work! For the pre-processed data with name "occ" and without, what's the difference of them?
The text was updated successfully, but these errors were encountered:
As written in the implementation detail (Section 4 of the paper), we followed "How robust is 3d human pose estimation to occlusion?".
It is occluding images with PASCAL objects in a random way.
Sorry, something went wrong.
I have a similar question. What is the difference between the data with "tight" and without for Human3.6m. Thanks for answering.
thank you for your response!
@QitaoZhao
It’s the tightness of bounding boxes used for training. We preprocessed another version to compare with SPIN setting that used tight bboxes
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Thank you for your work! For the pre-processed data with name "occ" and without, what's the difference of them?
The text was updated successfully, but these errors were encountered: