Awesome Person Re-identification

[WACV 2023] The code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"

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

A strong baseline for body part-based person re-identification (see also our WACV23 paper)

Object-Reidentification

[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (FedSTIL)

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

Awesome Cross-modality Person Re-identification

In this assignment, we explored the use of neural networks to solve two common computer vision tasks using the PyTorch framework. We had given a video-surveillance dataset containing images of multiple persons each of which was captured multiple times by different cameras along with a set of annotations that specify attributes of each person such as age, gender and clothing.

Imlementation of tree search algoritm for best cosine similarity

UAV Tracking for Smart Cities

This repo created for the Kaggle competition "Happywhale - Whale and Dolphin Identification"

Use ReID to model the appearance of the pedestrians and build a tracker based on Neural Message Passing (GNN).

Design and Implementation of a Multi-Target Multi-Camera Tracking Solution

Reidentification project of the Deep Learning university course

Incremental Generative Occlusion Adversarial Suppression Network for Person ReID (IEEE TIP 2021)

Multiple cameras recognition of prolonged interactions

Megvii workshop in large-scale network reimplementation and re-evaluation, Nov. 2021

Awesome Vehicle Re-identification

En este repositorio se recoge el codigo desarrollado durante el trabajo final de master. Master en Big Data y Data Science en la Universidad Internacional de Valencia

Fast, Simple and Easy to configure Re-Identification Pipeline in PyTorch

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

Serverless pipeline for Named Entity Recognition using AWS Comprehend and Masking or Deidentifying selected entities

This data pipeline is built upon the AWS Cloud Infrastructure and uses Streamlit as a front-end for user input.

We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.

Repository for 2019 CVPR AI City Challenge Track 2 from [email protected]

Person re-identification to observe domain shift. Models trained and tested on the self domain as well as on cross domains(i.e. Models trained on Market1501 and tested on DukeMTMC)