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update sae README
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mvp18 committed May 2, 2020
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```
python sae/sae_gzsl.py -data AWA2/AWA1/CUB/SUN/APY -mode train
```
For testing, set mode to test and set alpha, gamma to best combination from tables below.
For testing, set mode to test and set ld1 (F->S) and ld2 (S->F) to the best values from the tables below.

## Results

#### Classical ZSL

| Dataset | ZSLGBU Results ||| Repository Results ||
| Dataset | ZSLGBU Results || Repository Results |||
|---------|:--------------:|:--------:|:------:|:----------:|:-------:|
| | | F->S (W) | Lambda | S->F (W.T) | Lambda |
| CUB | 33.3 | 39.48 | 100 | **46.70** | 0.2 |
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#### Generalized ZSL

|Dataset |ZSLGBU Results |||Repository Results ||||||||
|Dataset ||ZSLGBU Results |||||Repository Results |||||
|--------|:-----:|:-----:|:-----:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|:-:|
| | | | | F->S (W) ||| Lambda | S->F (W.T) ||| Lambda |
| | U | S | H | U | S | H | | U | S | H | |
| CUB | 12.6 | **63.8** | 21.0 | **14.70** | 56.53 | **23.34** | 1 | **14.70** | 56.53 | **23.34** | 1 |
| CUB | 7.8 | 54.0 | 13.6 | 13.86 | 49.88 | 21.69 | 80 | **15.72** | **57.02** | **24.64** | 0.2 |
| AWA1 | 1.8 | 77.1 | 3.5 | 5.29 | 80.52 | 9.92 | 3.2 | **14.72** | **82.93** | **25.0** | 0.8 |
| AWA2 | 1.1 | 82.2 | 2.2 | 5.0 | 81.42 | 9.42 | 0.8 | **12.86** | **87.20** | **22.41** | 0.2 |
| aPY | 0.4 | **80.9** | 0.9 | 8.28 | 27.97 | 12.77 | 0.16 | **9.48** | 56.62 | **16.24** | 2.56 |
| SUN | 8.8 | 18.0 | 11.8 | 16.81 | 24.69 | 20.0 | 0.32 | **19.03** | **31.20** | **23.64** | 0.08 |

### References

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