Comments (1)
At least, you need to fine-tune on the ABC dataset.
In our paper, we tested our model (pretrained on the ShapeNet dataset) on the unseen classes of the ShapeNet dataset. The gap between the classes should be much smaller.
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Related Issues (20)
- how to get the same catogary but different objects in the same batch HOT 1
- dimension error HOT 2
- dimension error again!!! HOT 2
- Process is killed. HOT 1
- The links for pre-trained weights do not work HOT 1
- ShapeNet dataset HOT 1
- Versions update HOT 1
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- Size discrepency HOT 1
- The extrinsic and intrinsic of camera in the ShapeNetrendering HOT 2
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- OSError: [WinError 123] The filename, directory name, or volume label syntax is incorrect HOT 1
- doubts HOT 1
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from pix2vox.