Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-identification.(published on the IEEE TMM 2020)
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Updated
Jan 6, 2021
Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-identification.(published on the IEEE TMM 2020)
A novel implementation of Multi-Object Tracking in fixed frame setting
A Part Power Set Model for Scale-Free Person Retrieval
大四畢業專題 - A Human Tracking System (Multi-object tracking、Person reid、Face recognition)
Final Year Project
Note of papers and blogs.
Perception pipeline to compare different method for Single Person Detection and Tracking
Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model
Person re-identification project with three suggested models, which implemented using yolo, opencv, tensorflow, etc.
This is an official implementation for "Robust Graph Structure Learning over Images via Multiple Statistical Tests" accepted at NeurIPS 2022.
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