SCDA_pytorch/README.md
CaoGang2018 ef5dbf2a8a update
2020-05-31 10:27:41 +08:00

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# SCDA_pytorch
A pytorch implementation of the "Selective Convolutional Descriptor Aggregation" algorithm
## NOTE
cpu-only version
no in [1]
```
train_data_L31a(i,:) = train_data_L31a(i,:) ./ norm(train_data_L31a(i,:));
```
[largestConnectComponent](https://blog.csdn.net/xuyangcao123/article/details/81023732)
## Details
install requirements
```
pip install -r requirements.txt;
```
On CUB and split dataset in `CUB_200.py`.
random split CUB-200-2011 results:
||top1|top5
---|:--:|---:
CUB|0.46|0.71
>[1] Wei X S , Luo J H , Wu J , et al. Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval[J]. IEEE Transactions on Image Processing, 2017, 26(6):2868-2881.