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A pytorch implementation of the "Selective Convolutional Descriptor Aggregation" algorithm
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dependabot[bot] 1b93996888
Bump pillow from 7.1.2 to 10.0.1 
Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.2 to 10.0.1.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/7.1.2...10.0.1)

---
updated-dependencies:
- dependency-name: pillow
  dependency-type: direct:production
...

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README.md

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

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 0.546 0.794

[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.