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图像细粒度分类
Code release for ConvNeXt model
热力图,训练指标可借鉴
中心损失+ResNet18 食品图像分类
deep learning for image processing including classification and object-detection etc.
inception_resnet center-loss
[CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Keras Custom Layers of AdaCos and ArcFace contains experiments in caltech birds 2011(CUB-200-2011).
Train/validate VGGface2 dataset based on L2-constrained softmax loss.
图像分类任务中的损失, losses in image classification task
metric_learningの練習repo(フレームワーク:PyTorch,対象:L2 softmax)
Pytorch implementation of Center Loss
参考 模型预训练权重
This is a pytorch implementation of RA-CNN.
Code for reproducing the results of our "In Defense of the Triplet Loss for Person Re-Identification" paper.
My implementation of the paper [In Defense of the Triplet Loss for Person Re-Identification]
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.