person re-identification using deep learning
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Updated
Apr 2, 2021 - Jupyter Notebook
person re-identification using deep learning
Processing people on video using OpenVINO™
大四畢業專題 - A Human Tracking System (Multi-object tracking、Person reid、Face recognition)
People identification through shape and geometry of hands. Based on a paper by Shefali Sharma et al.
A Deep Learning architecture with Convolutional Neural Networks for Person Re-identification task.
A Part Power Set Model for Scale-Free Person Retrieval
computer vision
UAV Tracking for Smart Cities
C++ implementation of An Improved Association Pipeline for Multi-Person Tracking
Python implementation of LOMO feature extractor
Market1501 person re-identification task using relational networks
Repository for the Deep Learning course at the Department of Information Engineering and Computer Science at University of Trento.
PyTorch implementation for Person Reidentification using Deep RL
Repo for BMVC2020 paper "BCaR: Beginner Classifier as Regularization Towards Generalizable Re-ID"
This contains a modification of a Siamese-like Neural network which uses Normalized X-Corr model.
Official Pytorch Implementation of our paper: GAF-Net: Video-Based Person Re-Identification via Appearance and Gait Recognitions
Person re-identification using PyTorch and NFormer architecture
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