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Tensorflow implementation of "An Improved Deep Learning Architecture for Person Re-Identification"
This repository base on layumi/Person_reID_baseline_pytorch. CUHK03 dateset and DPN (dual path net) backbone network are add.
GOM:New Metric for Re-identification. 👉GOM explicitly balances the effect of performing retrieval and verification into a single unified metric.
The pytorch-based lightweight library of the image-based and video-based person re-identification.
Person re-ID baseline with triplet loss
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
:koala: (pytorch version) TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification :koala:
Person Search with Natural Language Description
Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Joint Detection and Identification Feature Learning for Person Search
This repository hosts the code for our paper “Learning Context Graph for Person Search”, CVPR2019 Oral
Pixel-wise segmentation on VOC2012 dataset using pytorch.
Source codes for the paper "Learning Diverse Features with Part-Level Resolution for Person Re-Identification"
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Pose Sensitive Embedding for Person Re-Identification (PSE)
Human Pose estimation with TensorFlow framework
A two-stream Re-id CNN network
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PyTorch code for CVPR'2020 paper “Pose-guided Visible Part Matching for Occluded Person ReID”
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Graph Convolutional Networks in PyTorch
A simple reproduction of Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training (CVPR2019).
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Pytorch implementation of convolutional neural network visualization techniques
The implement of GNN based on Pytorch
PyTorch implementation of Grad-CAM
Representation learning on large graphs using stochastic graph convolutions.
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.