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)
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Updated
Apr 15, 2024 - Python
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)
大四畢業專題 - A Human Tracking System (Multi-object tracking、Person reid、Face recognition)
Using multiple cameras to estimate the people's position. Works with OpenVINO toolkit.
[TIP2021] Code for TIP2021 paper "Person Re-identification via Attention Pyramid"
PyTorch implementation for Person Reidentification using Deep RL
People identification through shape and geometry of hands. Based on a paper by Shefali Sharma et al.
This contains a modification of a Siamese-like Neural network which uses Normalized X-Corr model.
A Deep Learning architecture with Convolutional Neural Networks for Person Re-identification task.
Person re-identification using PyTorch and NFormer architecture
Python implementation of LOMO feature extractor
Market1501 person re-identification task using relational networks
support pytorch>=0.4
Triplet Loss for Person Re-Identification
Market-1501 dataset with super-resolution quality
Sampling Agnostic Feature Representation for Long-Term Person Re-identification
Repository for the Deep Learning course at the Department of Information Engineering and Computer Science at University of Trento.
Repo for BMVC2020 paper "BCaR: Beginner Classifier as Regularization Towards Generalizable Re-ID"
Using this repository, you can identify people in the video by data into a SQLite database, and re-identifying them whenever they appear in subsequent videos
Implementation for WACV2020 paper "Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification"
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