# SCDA_pytorch **Repository Path**: fkgeek/SCDA_pytorch ## Basic Information - **Project Name**: SCDA_pytorch - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-12-20 - **Last Updated**: 2021-12-20 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 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|0.546|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.