[Patch-Based Matching 1] related work
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MatchNet:Unifying Feature and Metric Learning for Patch-Based Matching【CVPR15, github】
数据下载:论文章中使用的数据库的链接变了,想下载数据库的朋友可以点击我是patchdata.
Firstly, the model is built based on caffe frame. U can obtain the paper and source code on the Internet. The architecture provided in the paper is divided into two parts:A (Feature network) and B (metric network), which can be regard as extracting and descriptor.
If you want to train this net by yourself, you can finish it though following steps.
##cd data/phototour and
download liberty.zip unzip -q -d liberty liberty.ziprm liberty.zi
##Generate leveldb database for liberty and solve it in "data/leveldb"./run_gen_data.sh #脚本调用genetate_patch_db.py{
DATASET=libertypython generate_patch_db.py data/phototour/${DATASET}/info.data/phototour/${DATASET}/interestdata/phototour/${DATASET} data/leveldb/${DATASET}.leveldb}
A. Feature network
B. Metric network
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