Pinned Repositories
bank_interview
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
CNN-Region-VLAD-VPR
AUC-PR results of place recognition datasets on CNN based Region-VLAD Visual Place Recognition framework
crn
Learned Contextual Feature Reweighting for Image Geo-Localization (CVPR 2017)
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
M-Region-VLAD-VPR
AUC-PR results of place recognition datasets on CNN based M-Region-VLAD Visual Place Recognition framework
NetVLAD-pytorch
PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
netvlad_tf_open
Tensorflow port of https://github.com/Relja/netvlad
places365
The Places365-CNNs for Scene Classification
pytorch-NetVlad
Pytorch implementation of NetVlad including training on Pittsburgh.
pytorch-resnet
Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)
xuebiguodongpai's Repositories
xuebiguodongpai/bank_interview
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
xuebiguodongpai/CNN-Region-VLAD-VPR
AUC-PR results of place recognition datasets on CNN based Region-VLAD Visual Place Recognition framework
xuebiguodongpai/crn
Learned Contextual Feature Reweighting for Image Geo-Localization (CVPR 2017)
xuebiguodongpai/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
xuebiguodongpai/M-Region-VLAD-VPR
AUC-PR results of place recognition datasets on CNN based M-Region-VLAD Visual Place Recognition framework
xuebiguodongpai/NetVLAD-pytorch
PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.
xuebiguodongpai/netvlad_tf_open
Tensorflow port of https://github.com/Relja/netvlad
xuebiguodongpai/places365
The Places365-CNNs for Scene Classification
xuebiguodongpai/pytorch-NetVlad
Pytorch implementation of NetVlad including training on Pittsburgh.
xuebiguodongpai/pytorch-resnet
Convert resnet trained in caffe to pytorch model. (group norm resnet is provided too)
xuebiguodongpai/Visual-Place-Recognition
Place Recognition with ConvNet Landmarks