Awesome Person Re-identification

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

[WACV23] A strong baseline for body part-based person re-identification

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

Deep learning based object tracking with line crossing and area intrusion detection

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

Awesome Vehicle Re-identification

Awesome Cross-modality Person Re-identification

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

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

BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.

A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)

FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)

[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"

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

AICUP 2024 Cross-camera Multiple-object tracking

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

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

A metric learning method for person re-identification

A New Strong and Simple Baseline Method for VVI-ReID (M3-ReID: Unifying Multi-View, Granularity, and Modality for Video-Based Visible-Infrared Person Re-Identification)

Realtime Person Re-Identification using Kafka, Spark and Deep Learning

Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019

Incremental Generative Occlusion Adversarial Suppression Network for Person ReID (IEEE T-IP 2021)

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

Real-time ReID Tracking w/. Lite but Strong Feature Extractor & GAN

The very first open-source dataset for chicken 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.

UC Berkeley INFO 290 (Privacy & Security Lab) Spring 2018

No description provided.

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