SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
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Updated
Jul 25, 2024 - Python
SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
This repository contains the code and data for the text re-identification attack presented in B. Manzanares-Salor, D. Sánchez, P. Lison, Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack, Submitted, (2024)
A strong baseline for body part-based person re-identification (check out our WACV23 paper)
SOTA Re-identification Methods and Toolbox
[CVPR2024]Day-Night Cross-domain Vehicle Re-identification
The very first open-source dataset for chicken re-identification 🐔
Official implementation of the paper GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features.
Code for "Neural Texture Puppeteer" (WACV Workshop "CV4Smalls" 2024, oral)
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)
Lightweight Python library for adding real-time multi-object tracking to any detector.
AutoTrackAnything is a universal, flexible and interactive tool for insane automatic object tracking over thousands of frames. It is developed upon XMem, Yolov8 and MobileSAM (Segment Anything), can track anything which detect Yolov8.
Git-Repository for Master's Thesis "Re-Identification Attacks on Smartwatch Health Data" (dtw-attacks-v2)
deep learning person search in PyTorch.
NVIDIA Deepstream 6.1 Python boilerplate
VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)
State-of-the-art https://arxiv.org/abs/2302.09119 https://intranet.matematicas.uady.mx/journal/index.php?c=50
Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval on PolarbearVidID
person re-identification based on deep learning
Towards Fewer Labels: Support Pair Active Learning for Person Re-identification
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