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Name: Sungyeon Kim
Type: User
Company: POSTECH
Name: Sungyeon Kim
Type: User
Company: POSTECH
Official pytorch Implementation of Deep Metric Learning Beyond Binary Supervision, CVPR 2019
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
Deep Clustering for Unsupervised Learning of Visual Features
An Open-Source Package for Deep Learning to Hash (DeepHash)
Matlab implementation of the ECO tracker.
A library for efficient similarity search and clustering of dense vectors.
Fast-RCNN models in Torch-7 format
GIT seminar
Official PyTorch Implementation of HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization, CVPR 2023
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021
A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).
Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022
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.