PyTorch implementation for Person Reidentification using Deep RL
-
Updated
May 19, 2020 - Python
PyTorch implementation for Person Reidentification using Deep RL
Training a customized dataset on fast-reid, evaluation and visualization
Official Implementation of Open-Set Biometrics: Beyond Good Closed-Set Models (ECCV 2024)
Lightweight DNN using triplet center loss for Person re-identification benchmark on Market1501 dataset
Person Re-Identification (ReID) using lightweight Deep Learning model.
University project for Person Re-Identification task
[TIP2024] The code of "GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning"
Re-id demo implemented for Lao Wang, guardian of the Prison, CEO of ZYDQ
CUHK03 extracted images from the .mat file
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)
Official Pytorch Implementation of our paper: GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
Torchreid: Deep learning person re-identification in PyTorch.
person re-identification based on deep learning
C++ implementation of An Improved Association Pipeline for Multi-Person Tracking
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
computer vision
Fast, Simple and Easy to configure Re-Identification Pipeline in PyTorch
LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.
Market1501 person re-identification task using relational networks
Add a description, image, and links to the person-reid topic page so that developers can more easily learn about it.
To associate your repository with the person-reid topic, visit your repo's landing page and select "manage topics."