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some question about process 2d datasets #12
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The cropping process is the same regardless of datasets. Even if you crop the closest person for 3d datasets, there could be other people in the cropped image. And actually MuCo, which you are referring to, does not have multiple person in one image originally. It synthesizes multiple real person images to one image using depths.
That is the challenge of crowded scenes, which 3DCrowdNet resolves. Please see the paper. |
Thanks for your reply! |
No. I think you are confused with how deep learning works. Given accurate ground truth, a neural network becomes robust to the ambiguity during training. Then, the neural network performs better on those ambiguous input in test time. |
i found that you crop the closest person for 3d datasets if have multiple person in one image, but for 2d dataset you may crop all persons in one image. why you process these datasets differently?
in addition, the cropped image may contain another person, won't this process bring ambiguity to the network?
thank you very much!
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