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.