:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Awesome Person Re-identification

:red_car: the collection of vehicle re-ID papers, datasets. :red_car:

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

Annotations of key point location and vehicle orientation for VeRi-776 dataset. ICCV'17 paper: Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.

VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)

Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification

Awesome Vehicle Re-identification

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

【AAAI2024】TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation

This repo gives the code for the paper "Xinchen Liu, Wu Liu, Jinkai Zheng, Chenggang Yan, Tao Mei: Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle Re-identification. ACM MM 2020".

SnP: Large-Scale Training Data Search for Object Re-Identification (CVPR 2023)

Vehicle Re-identification

Code for Part-Guided Attention Learning for Vehicle Instance Retrieval (TITS2020). A strong Vehicle Re-ID model with part region guidance.

AICITY2020 track2 reid open source code.

Repository for 2019 CVPR AI City Challenge Track 2 from IPL@UW

:fire: The runner-up solution of AICITY Challenge Track2 (Vehicle Re-Identification) at CVPR 2021 Workshop.

Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model

vehicle-reid-0001 を用いて、Vehicle ReIDを行うサンプル

Vehicle counting and tracking at intersection modules and ReID pipeline with object detection - > image cropping -> object in cropped image re-identification in another image

Training a customized dataset on fast-reid, evaluation and visualization

CLIP Distillation-Driven pre-training framework for vehicle re-identification

🌟 Track your personal challenges and boost your consistency with this simple web app designed for effective Frontend Development learning.

This repository contains the LaTeX source files for my Master's thesis on Vehicle Re-Identification. It includes the main .tex document, bibliography, figures, and any supplementary materials used in the thesis compilation.

A Streamlit-based web application designed for Vehicle Re-Identification (Re-ID) tasks.