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Inception Distance to compare the generated data distribution to the real data distribution.
Take from [here](https://github.com/tmarkmann/mnist-gan/blob/main/mnist_gan.ipynb)
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FID (need inception model)
- [Fréchet distance](https://en.wikipedia.org/wiki/Fr%C3%A9chet_distance#As_a_distance_between_probability_distributions_(the_FID_score)) and [Inception score](https://en.w…
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relate to similarities?
https://en.wikipedia.org/wiki/Metric_(mathematics)#Definition
* non-negative
* identity of indiscernibles
* symmetry
* triangle inequality
Frechet distance:
* h…
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```
Creating feature extractor "inception-v3-compat" with features ['logits_unbiased', '2048']
Extracting features from input1
Looking for samples non-recursivelty in "generation_outputs/mage_vitb_…
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Hi, could you explain the configuration when calculating the Fréchet Inception Distance? Specifically:
1. Which dataset was used to calculate the mean and covariance of real world samples?All trainin…
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### PPT
- TODO
### 내용
- Inception Score(IS)
- Entropy가 낮을수록 좋은 것이다
- 다양한 Output을 가질수록 좋은 것이다
- 이 두 개의 KL Divergency가 커야한다(롸?????)
- 얘를 스코어로 줬을 때 딱히 잘 되진 않는다
- 고양이를 넣었는데 강아지를 피크…
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Hello. I tried using the demo code of Codi (https://github.com/microsoft/i-Code/tree/main/i-Code-V3) to reproduce results on the AudioCaps dataset. However, I was unable to achieve the results reporte…
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Hi!
It is a great pleasure to meet an incredible work!
I appreciate your dedication to this community.
I have checked the paper and github, but it seems that there is no sample generation perform…
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The following evaluation metrics need to be implemented
- [x] Inception Score
- [ ] Frechet Distance
- [x] Classifier Score measured with a custom user-trained classifier
- [ ] Sliced Wasserstein …
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