Comments (5)
lmxyy
commented on August 16, 2024
Yes, you are correct. The CycleGAN model (with normal conv) is not needed in our compressing pipeline. But we have compared our final model with the original model (with normal conv) in our paper.
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07hyx06
commented on August 16, 2024
Thx for your quick reply!
one more question: What about the behavior of the teacher generator and the student generator before NAS? I remember MobileNet can decrease 9xFLOPs on classfication. What about the MobileNet-based generator CycleGAN computation compare to the original Resnet-based one?
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lmxyy
commented on August 16, 2024
With the same ngf, the MobileNet-style generator is 5.8x smaller takes 3.1x less computation than the original resnet-based generator.
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lmxyy
commented on August 16, 2024
Do you have any other questions? If not, I will close the issue.
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07hyx06
commented on August 16, 2024
no more. just close :D
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Related Issues (20)
- Gray-Scale Input Support HOT 1
- What do these two paths mean?（--metaA_path --metaB_path） HOT 3
- About Select the Best Model (evolution_search.py) HOT 2
- distilling on higer resolution HOT 2
- Distill Problem HOT 4
- "Once-for-all" Network Training Problem HOT 2
- TypeError: _output_padding() missing 1 required positional argument: 'num_spatial_dims' HOT 4
- Guidance to covert pth to ptl
- [Question] About SuperSeparableConv2d HOT 2
- Cannot access to https://hanlab.mit.edu/ HOT 1
- ERROR 403: Forbidden HOT 5
- Request for Access to Pretrained Model for Verification and Replication Purposes. HOT 3
- URL is not supported HOT 7
- Does this way can apply to pix2pixHD model? HOT 2
- How to generate cityscape_A.npz HOT 1
- where is bash scripts/cycle_gan/horse2zebra/search.sh? HOT 1
- "download_real_stat.sh" doesn't work.
- Question about testing the compressed model HOT 1
- Question about the budget setting HOT 2
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